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Data Lakehouse Engineer (all gender) Are you passionate about shaping the future of data? We’re seeking a Data Lakehouse Engineer to play a pivotal role in building our next-generation Lakehouse platform. Join us to design and implement data ingestion pipelines and actively contribute to the evolution of our data environment. This is a fantastic opportunity to make a tangible impact while working alongside talented professionals in a collaborative, forward-thinking environment. Your Responsibilities: • Design and develop cutting-edge data ingestion and transformation pipelines that power our Lakehouse platform, ensuring scalability and efficiency for business growth., • Take ownership of optimizing storage layers (bronze/silver/gold) and crafting data models to drive impactful analytics and machine learning initiatives., • Champion data quality and reliability by implementing robust monitoring, thorough testing, and comprehensive validation processes, guaranteeing trusted insights for decision-makers., • Work in close partnership with architects, analysts, and data scientists to create and deliver high-quality datasets, • Drive excellence across our platform by applying best practices in security, governance, and performance tuning, ensuring our data infrastructure is resilient, compliant, and future-ready., • Join us in our vibrant Madrid Hub, where you'll have the opportunity to work alongside talented teams in Switzerland, fostering international collaboration and professional growth. Your profile: • Bring your expertise in Lakehouse technologies such as Databricks, Delta Lake, and Snowflake to shape the future of our data platform., • Leverage your skills in Python and SQL, along with hands-on experience in distributed data processing using Spark, to tackle exciting technical challenges., • Work with leading cloud platforms—Azure, AWS, or GCP—and their data services to support business solutions., • Utilize your solid understanding of ETL/ELT patterns, data modelling, and streaming technologies, • Showcase your problem-solving abilities by troubleshooting complex data issues within a highly collaborative, cross-functional team environment., • Embrace and embody our values of drive and closeness, being there for our clients when it matters., • Fluency in Spanish and proficiency in English are essential for effective communication across our diverse teams.

Project description We are seeking a Principal Data Platform Architect with proven experience leading enterprise data platform migrations from Palantir Foundry to Databricks. This role will drive the strategic design, migration, and optimization of the enterprise data ecosystem, transitioning data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture. The successful candidate will provide architectural leadership and technical direction, ensuring data integrity, governance, performance, and long-term platform sustainability. You will collaborate closely with data engineering, DevOps, and business stakeholders to modernize the data platform, establish best practices, and deliver a secure and high-performance migration. Responsibilities -Define and execute the end-to-end migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks. -Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL. -Implement validation frameworks to ensure complete data accuracy, consistency, and lineage throughout the migration process. -Optimize Spark workloads, cluster configurations, and storage strategies to ensure high performance and cost-efficient operations in Databricks. -Collaborate with data engineers, platform teams, and business stakeholders to minimize migration risk, ensure smooth cutover, and maintain production stability. Skills Advanced Databricks Experience. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning. Proven Migration Experience (Palantir → Databricks). Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover. Expert-Level PySpark & Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows. Advanced SQL & Data Modelling Expertise. Experience in dimensional modeling, lakehouse architecture patterns, and query optimization. Cloud Platform Experience (Azure preferred). Hands-on experience deploying and managing data platforms in cloud environments, including storage, security, and networking considerations. Nice to have Hands-on Expertise in Palantir Foundry. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance. Understanding of the Investment Data Domain. Familiarity with Dynatrace or Datadog for system observability and monitoring. Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications. Languages English: C1 Advanced

Gi Group es la multinacional Italiana líder en el mundo que ofrece soluciones integrales para el desarrollo del mercado laboral. Nuestra misión es contribuir con una visión global al desarrollo del mercado laboral con el objetivo principal de aumentar la empleabilidad, basándonos siempre en el valor personal y social del trabajo. Conoce más en Desde GI GROUP estamos buscandola figura de un/a ASISTENTE/A PARA EL DEPARTAMENTO LABORAL de una importante empresa especialistas en asesoría fiscal, laboral y mercantil a empresas y personas. ¿QUÉ ESTAMOS BUSCANDO? • Apoyo administrativo, • Gestión de altas y bajas y comunicación con Seguridad Social, (RED, DELTA) Siltra y Sepe, • Apoyo gestión de contratos ¿CUMPLES CON ESTOS REQUISITOS? • Ciclo Formativo Grado Medio-Superior, • Experiencia en asesorías/gestorías, • Experiencia de 1 año en el ámbito de la gestión laboral, • Valorable conocer el programa A3 Nom, • Conocimientos en confección de nóminas, contratos, liquidaciones, finiquitos OFRECEMOS: • Jornada de lunes a viernes de 9h a 15h (30h/s), • Contrato de 3 meses a través de ETT + posibilidad de paso a empresa. PUESTO ESTABLE, • Salario 12.000€, • Ubicación: Madrid Capital, • Modalidad: 100% presencial, • INCORPORACIÓN INMEDIATA

🚀 Data Platform Engineer (Azure Databricks) 📍 Fully Remote from Spain 💰 €25–30/hour 📅 12-month contract (Autonomo setup) We are looking for a Data Platform Engineer to support and evolve multiple Unity Catalog–enabled Azure Databricks environments. This role is focused on platform engineering and operations, NOT on building data pipelines or ML models. You will work on improving, automating, and scaling the platform itself. Key Responsibilities: Platform Engineering & Operations • Improve implementation patterns across jobs and platform components, • Identify and resolve scalability, reliability, and maintainability bottlenecks, • Standardise workspace configurations and environment structures, • Maintain consistent and secure Unity Catalog configurations, • Optimise compute configurations and autoscaling behaviour, • Automate environments using Databricks Asset Bundles (DABs) and Terraform, • Ensure reproducible, versioned environments aligned with CI/CD principles, • Document platform patterns and operational runbooks, • Support engineers and analysts working with Databricks Required Experience: • 3–5+ years in Platform (Data) Engineering, • Strong hands-on experience with Azure Databricks, • Strong knowledge of Unity Catalog (access models, governance, service principals, workspace configs), • Solid PySpark and SQL skills, • Understanding of performance optimisation (partitioning, Z-ordering, caching, data layout), • Experience with CI/CD, Git workflows, and Infrastructure-as-Code, • Bonus: MLOps experience 📩 If you’re based in Spain and available for a 12-month Autonomo contract, feel free to apply or message me directly.

We are looking for a Senior Data Architect & Program Delivery Lead who can operate confidently across two worlds: legacy enterprise data platforms (especially Informatica PowerCenter and Oracle) and modern AWS cloud data architecture. This role is not a pure coding position and not a pure project management role. It requires someone who can lead technical architecture discussions with engineers in English, while also driving program governance, delivery oversight, and stakeholder alignment in a large-scale, multi-team, multi-vendor environment. You will own the technical direction of the migration, define and validate the target architecture, unblock engineering teams, and ensure delivery stays on track through strong governance and execution discipline. 1. Technical Architecture Leadership (AWS + Legacy) • Design and validate cloud-native data architectures using AWS data services., • Analyze and decompose complex Informatica PowerCenter ETL workflows and Oracle data models to define migration patterns and sequencing., • Define the technical roadmap, drive architectural decision records (ADRs), and ensure engineering best practices and standards., • Review designs, code and infrastructure changes to ensure scalability, reliability, and maintainability., • Troubleshoot high-impact technical issues across data pipelines, orchestration, and performance., • Act as technical owner of the stack, including PySpark, AWS Glue/EMR, S3, Redshift, Lake Formation, Informatica PowerCenter, Apache Iceberg, Terraform, SQL/Oracle, and Python. 2. Delivery Leadership and Team Management • Lead delivery execution across multiple agile teams, including planning, ceremonies, and delivery tracking., • Manage and guide teams of 9 to 15 engineers across different geographies and disciplines., • Coordinate dependencies across workstreams and ensure teams are aligned on priorities and implementation approach., • Drive quality standards and ensure deliverables meet expected technical and operational requirements., • Communicate clearly and credibly with engineers and non-technical stakeholders, translating complexity into decisions and actions. 3. Program Governance and Stakeholder Management • Own program governance across stakeholders, vendors, and subcontractors in a multi-party delivery model., • Manage evolving scope, requirements, and expectations, ensuring transparency and decision clarity., • Track progress against milestones, manage risks and blockers, and support resourcing and timeline planning., • Provide clear reporting and updates to senior leadership and governance forums. Technical Background • 3+ years of hands-on experience with Informatica PowerCenter in complex ETL environments., • Strong PySpark skills for production-grade data transformations., • Strong AWS data engineering knowledge, including Glue, EMR, S3, Redshift, and Lake Formation., • Experience with Apache Iceberg or similar modern table formats (Delta Lake, Hudi)., • Infrastructure as Code experience, ideally Terraform., • Proven track record leading large-scale data migrations involving multiple systems and high data volumes., • At least 5 years managing agile data engineering or analytics teams (5 to 15 people)., • Experience working in multi-vendor or subcontractor delivery models., • Strong experience leading distributed, international teams., • Strong English communication (spoken and written), comfortable leading architecture discussions with engineers., • Proactive, solutions-oriented, and confident managing ambiguity and complexity., • Strong stakeholder management and ability to influence decisions across senior audiences., • Experience with Azure or GCP., • Exposure to data quality frameworks and tools., • Familiarity with BI and analytics tools (Power BI, Tableau, Qlik)., • Knowledge of DevOps practices (CI/CD, GitHub Actions)., • Experience with data governance or cataloging solutions., • Experience migrating or extracting data from SAP., • Enterprise data warehousing background (dimensional modeling)., • AWS Solutions Architect (Associate or Professional)., • versión más corta tipo LinkedIn post,

Our goal is to strengthen the brand in Spain. We are looking for an expert to work as SAP dCEM (Digital Customer Engagement Manager)! What do you need to fulfill this job? • Technical expertise in SAP Basis area with minimum of 5+ years of experience., • 2+ Cloud knowledge (e.g. through Solution Management, Consulting and/or Delivery Program management)., • Good understanding & hands-on experience required in S/4 HANA Application & HANA database., • Experience in SAP Upgrade & Migration (OS/DB) is mandatory., • Experience in SaaS products (Ariba, Salesforce, C4S etc.) integration with SAP Landscape is plus., • Hands-on experience in any of hyper scaler (AWS/ Azure/ GCP) is needed., • Have a scope of learning new technologies on SAP Products (S/4HANA, HANA Database, MDG, SaaS Products (Ariba, Salesforce etc.) & Cloud (AWS, Azure OR GCP), • Will have access to all SAP internal training & learning materials to gain knowledge in latest technologies., • Will gain exposure to all latest build architectures in one single place/ position which will be valuable/ useful in future., • Will not be assigned/ dedicated to one single customer but will engage with Multiple customers in various Industries to gain knowledge about different SAP Landscape setups, Delivery processes & Challenges., • Will rotate in different internal SAP dCEM CoE (Migrations, Upgrade, Escalation, Go-Live etc.), • Technical Architecture, Landscape issues/ queries guidance to end customers., • Supports sales to delivery handover and customer onboarding to SAP Enterprise Cloud Services, • Contributes to onboarding/transitioning customers to SAP ENTERPRISE CLOUD SERVICES, • Orchestrates the overall service/project delivery according to planned scope, budget, and milestones, • Supports in de-escalations of critical customer situations, • Supports critical customer situations in conjunction with Major Incident Management (MIM), SAP Enterprise Cloud Services Customer Office teams and SAP Product Support, as applicable, • Contributes to customer release and maintenance activities, • Supports customers on technical requirements throughout their lifecycle within the SAP Enterprise, • Executes and supports problem management and continuous improvement, • Contributes to the liaison with different SAP stakeholders, esp. Virtual customer success partner involved in the accounts, to ensure customer success, • Supports in reviewing account status and analyzing if account needs to be transitioned to another team, based on growth in volume or complexity of the account overtime., • Systematic and faster onboarding of associates: mandatory trainings documentation, • Enable continuous delta KTs on new topics and refresher sessions. About HCLTech: We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey in advancing the technological world through innovation and creativity. Why Us? • We offer End-to-end digital transformation expertise that helps clients from strategy through execution. We work with the biggest brands, offering the opportunity to be a part of industry-leading work., • We are invested in your growth, offering learning and career development opportunities at every level to help you find your spark., • We offer freedom and flexibility on the job, empowering our employees to make decisions., • We offer a virtual-first work environment, promoting a good work-life balance and real flexibility Our company is extremely diverse with representation of 165 nationalities., • We offer the opportunity to work with colleagues across the globe., • We are a certified great place to work and a top employer in 25 countries including Romania, offering a positive work environment that values employee recognition and respect. If you have a valid disability certificate, Certificate of Disability in Force, please contact us. Among HCL's principles we would like to highlight diversity and inclusion as a strength in our values and practices. To achieve all our objectives, it intends to attract, develop, and retain different profiles, assuming diversity as a key factor and differentiator of fundamental innovation in our organization. We welcome and value all people, and we are committed to the inclusion and sense of belonging of each person who is part of HCL. • HCL is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.

At Lognext we have been accompanying companies and teams for more than 18 years to identify and implement the technology necessary to advance, making their challenges and objectives our own and getting closer to their reality. Therefore, being a NEXTER means that your career and talent become meaningful to you and those around you, allowing you to build what matters most to you and reach your next level. We are looking for a Data Management Specialist to join our team for a multinational leader in the technology sector. 📌Key Responsibilities: • The candidate will have a minimum of 5 years of experience as a Data Engineer, with proven expertise in designing and implementing cloud and on-premises data solutions., • Experience with public cloud platforms such as Azure, AWS, or GCP, and hands-on experience with Azure Fabric, Data Factory, Synapse, Databricks, Logic Apps, etc., • Experience designing, building, and maintaining ETL/ELT pipelines, Data Lakes, Delta Lakes, and data integration solutions., • Proficiency in data transformation languages such as Python, PySpark, SparkSQL, T-SQL., • Experience with data modeling tools and working in distributed data architecture teams (on-premises or cloud)., • Experience with data visualization tools such as Tableau or Power BI is a plus., • Good level of English (minimum B2). 💡Skills: • Strong experience with one or more public cloud platforms (Azure, AWS, GCP) and experience integrating solutions across clouds., • Proficiency with cloud-native data services (Azure Data Factory, AWS Glue, GCP Dataflow) and orchestration frameworks, particularly with Azure services for data integration and analytics (Fabric, Data Factory, Synapse, Databricks, Logic Apps, etc.)., • Proven experience with Python, PySpark, SparkSQL, T-SQL, and other data transformation languages., • Experience with relational database engines such as SQL Server, PostgreSQL, or MySQL., • Experience in implementing CI/CD pipelines in cloud environments. 👉 Job Conditions & Benefits: • 📜 Permanent contract., • 📍 Work Mode: Remote., • 💰 Competitive salary., • 💻 Remote work assistance., • 🎓 Professional Development: Access to an annual budget dedicated to advancing your skills through professional certifications. Join our expert team, where creativity, commitment, and the ability to bring new perspectives are essential to make a difference in a world full of opportunities. 🚀 Are you ready for your NEXT LEVEL? In Lognext we are committed to equality between women and men and as proof of this, we have a registered and published Lognext Equality Plan. We also believe that multiculturalism is a source of values, experiences, and knowledge that add value to our projects, which is why we believe in diversity, and we are committed to it. We work every day to create environments where people are treated with respect and dignity no matter where they come from, we do not discriminate based on religion or beliefs, ethnicity, disability, age, nationality, marital status, sexual orientation, or gender. #Employment #Technology #Innovation #ProfessionalDevelopment #Equality #Diversity."

Project Description: The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week. Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart. Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business. Responsibilities:We are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture. Skills Description: • Readiness to work until 8.00 pm CET (no need to do overtimes), • Overall years of experience required 8+, • Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years)., • Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval., • Hands-on experience with Power BI, including data modeling, report and dashboard development, and building interactive, business-ready visualizations based on enterprise data sources., • Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions., • Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses., • Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing., • Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault), • Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages., • Experience integrating metadata and governance processes into cloud-based data platforms, • Certification in Azure, Databricks, or other relevant technologies is an added advantage, • Experience with cloud-based analytical databases., • Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix., • Experience with Python and Python-based ETL tools., • Experience with shell scripting in Bash, Unix or windows shell is preferable. Nice-to-Have Skills: • Experience with Elasticsearch, • Familiarity with containerization and orchestration technologies (Docker, Kubernetes)., • Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis., • Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams. Languages: English: B2 Upper Intermediate

En } ReCodme ( aceleramos el desarrollo tecnológico de nuestros clientes y colaboradores a través de soluciones especializadas, aportando valor en su continuidad y crecimiento. Creemos en la cercanía con nuestras personas y en el valor añadido que aportan a nuestro equipo y proyectos. ¡Un ReCoder es un aficionado de la tecnología, es [la clave de nuestro éxito], la clave de nuestra Fuerza!”. Actualmente estamos buscando un Ingeniero/a de Datos (Azure), para incorporarse con nosotros al proyecto de uno de nuestros clientes en modalidad remota. ¿Qué necesitas para formar parte de este proyecto? 📢 Requisitos: • 2-3 años de experiencia como Ingeniero de Datos o posiciones relacionadas (analista, analytics, data scientist..., en entorno Azure), • Experiencia en desarrollo con Python y uso de PySpark., • Expertise con SQL (Postgres, MySQL, SQL Server...), • Experiencia trabajando con Databricks y Azure Data Factory, • CICD: Git / Azure DevOps., • Conocimiento basico de Kafka o Event Hubs. 📢 Funciones: • Desarrollo y mantenimiento de ETL/ELT en batch y streaming con Databricks/PySpark., • Gestionar el procesamiento y almacenamiento de datos con Delta Lake., • Soporte en procesos de CI/CD con Azure DevOps., • Colaboración estrecha con Data Scientist y Analistas de datos., • Resolución de problemas y optimización de pipelines. 📢 Idiomas: • Español (nativo), • Inglés (B2) 📢 Modalidad: • Remota (preferencia por residir en Madrid pero remoto 100%) ¿Estás listo para esta fuerza? Presenta tu candidatura. En Recodme defendemos la igualdad y valoramos la diversidad. Creamos un ambiente seguro, diverso y donde las oportunidades son iguales para todos los colaboradores. No discriminamos por edad, etnia, orientación sexual, género, discapacidad o cualquier otro factor que no sea el mérito. ¡Todas las candidaturas con las habilidades necesarias para el puesto son bienvenidas!

&##128640; Data Platform Engineer (Azure Databricks) &##128205; Fully Remote from Spain &##128176; €25–30/hour &##128197; 12-month contract (Autonomo setup) We are looking for a Data Platform Engineer to support and evolve multiple Unity Catalog–enabled Azure Databricks environments . This role is focused on platform engineering and operations , NOT on building data pipelines or ML models. You will work on improving, automating, and scaling the platform itself. Key Responsibilities: Platform Engineering & Operations Improve implementation patterns across jobs and platform components Identify and resolve scalability, reliability, and maintainability bottlenecks Standardise workspace configurations and environment structures Monitor platform health and performance Unity Catalog Management Maintain consistent and secure Unity Catalog configurations Ensure governance structures (catalogs, schemas, grants, service principals) are efficient and developer-friendly Performance & Cost Optimisation Optimise compute configurations and autoscaling behaviour Analyse Spark jobs, Delta Lake usage, and storage layout for performance and cost efficiency Automation & Infrastructure-as-Code Automate environments using Databricks Asset Bundles (DABs) and Terraform Ensure reproducible, versioned environments aligned with CI/CD principles Minimise manual configuration Documentation & Guidance Document platform patterns and operational runbooks Support engineers and analysts working with Databricks Required Experience: ~3–5+ years in Platform (Data) Engineering ~ Strong hands-on experience with Azure Databricks ~ Strong knowledge of Unity Catalog (access models, governance, service principals, workspace configs) ~ Solid PySpark and SQL skills ~ Understanding of performance optimisation (partitioning, Z-ordering, caching, data layout) ~ Experience with CI/CD, Git workflows, and Infrastructure-as-Code ~ Bonus: MLOps experience &##128233; If you’re based in Spain and available for a 12-month Autonomo contract, feel free to apply or message me directly.

&##128640; Data Platform Engineer (Azure Databricks) &##128205; Fully Remote from Spain &##128176; €25–30/hour &##128197; 12-month contract (Autonomo setup) We are looking for a Data Platform Engineer to support and evolve multiple Unity Catalog–enabled Azure Databricks environments . This role is focused on platform engineering and operations , NOT on building data pipelines or ML models. You will work on improving, automating, and scaling the platform itself. Key Responsibilities: Platform Engineering & Operations Improve implementation patterns across jobs and platform components Identify and resolve scalability, reliability, and maintainability bottlenecks Standardise workspace configurations and environment structures Monitor platform health and performance Unity Catalog Management Maintain consistent and secure Unity Catalog configurations Ensure governance structures (catalogs, schemas, grants, service principals) are efficient and developer-friendly Performance & Cost Optimisation Optimise compute configurations and autoscaling behaviour Analyse Spark jobs, Delta Lake usage, and storage layout for performance and cost efficiency Automation & Infrastructure-as-Code Automate environments using Databricks Asset Bundles (DABs) and Terraform Ensure reproducible, versioned environments aligned with CI/CD principles Minimise manual configuration Documentation & Guidance Document platform patterns and operational runbooks Support engineers and analysts working with Databricks Required Experience: ~3–5+ years in Platform (Data) Engineering ~ Strong hands-on experience with Azure Databricks ~ Strong knowledge of Unity Catalog (access models, governance, service principals, workspace configs) ~ Solid PySpark and SQL skills ~ Understanding of performance optimisation (partitioning, Z-ordering, caching, data layout) ~ Experience with CI/CD, Git workflows, and Infrastructure-as-Code ~ Bonus: MLOps experience &##128233; If you’re based in Spain and available for a 12-month Autonomo contract, feel free to apply or message me directly.

&##128640; Data Platform Engineer (Azure Databricks) &##128205; Fully Remote from Spain &##128176; €25–30/hour &##128197; 12-month contract (Autonomo setup) We are looking for a Data Platform Engineer to support and evolve multiple Unity Catalog–enabled Azure Databricks environments . This role is focused on platform engineering and operations , NOT on building data pipelines or ML models. You will work on improving, automating, and scaling the platform itself. Key Responsibilities: Platform Engineering & Operations Improve implementation patterns across jobs and platform components Identify and resolve scalability, reliability, and maintainability bottlenecks Standardise workspace configurations and environment structures Monitor platform health and performance Unity Catalog Management Maintain consistent and secure Unity Catalog configurations Ensure governance structures (catalogs, schemas, grants, service principals) are efficient and developer-friendly Performance & Cost Optimisation Optimise compute configurations and autoscaling behaviour Analyse Spark jobs, Delta Lake usage, and storage layout for performance and cost efficiency Automation & Infrastructure-as-Code Automate environments using Databricks Asset Bundles (DABs) and Terraform Ensure reproducible, versioned environments aligned with CI/CD principles Minimise manual configuration Documentation & Guidance Document platform patterns and operational runbooks Support engineers and analysts working with Databricks Required Experience: ~3–5+ years in Platform (Data) Engineering ~ Strong hands-on experience with Azure Databricks ~ Strong knowledge of Unity Catalog (access models, governance, service principals, workspace configs) ~ Solid PySpark and SQL skills ~ Understanding of performance optimisation (partitioning, Z-ordering, caching, data layout) ~ Experience with CI/CD, Git workflows, and Infrastructure-as-Code ~ Bonus: MLOps experience &##128233; If you’re based in Spain and available for a 12-month Autonomo contract, feel free to apply or message me directly.

&##128640; Data Platform Engineer (Azure Databricks) &##128205; Fully Remote from Spain &##128176; €25–30/hour &##128197; 12-month contract (Autonomo setup) We are looking for a Data Platform Engineer to support and evolve multiple Unity Catalog–enabled Azure Databricks environments . This role is focused on platform engineering and operations , NOT on building data pipelines or ML models. You will work on improving, automating, and scaling the platform itself. Key Responsibilities: Platform Engineering & Operations Improve implementation patterns across jobs and platform components Identify and resolve scalability, reliability, and maintainability bottlenecks Standardise workspace configurations and environment structures Monitor platform health and performance Unity Catalog Management Maintain consistent and secure Unity Catalog configurations Ensure governance structures (catalogs, schemas, grants, service principals) are efficient and developer-friendly Performance & Cost Optimisation Optimise compute configurations and autoscaling behaviour Analyse Spark jobs, Delta Lake usage, and storage layout for performance and cost efficiency Automation & Infrastructure-as-Code Automate environments using Databricks Asset Bundles (DABs) and Terraform Ensure reproducible, versioned environments aligned with CI/CD principles Minimise manual configuration Documentation & Guidance Document platform patterns and operational runbooks Support engineers and analysts working with Databricks Required Experience: ~3–5+ years in Platform (Data) Engineering ~ Strong hands-on experience with Azure Databricks ~ Strong knowledge of Unity Catalog (access models, governance, service principals, workspace configs) ~ Solid PySpark and SQL skills ~ Understanding of performance optimisation (partitioning, Z-ordering, caching, data layout) ~ Experience with CI/CD, Git workflows, and Infrastructure-as-Code ~ Bonus: MLOps experience &##128233; If you’re based in Spain and available for a 12-month Autonomo contract, feel free to apply or message me directly.

Data Lakehouse Engineer (all gender) Are you passionate about shaping the future of data? We’re seeking a Data Lakehouse Engineer to play a pivotal role in building our next-generation Lakehouse platform. Join us to design and implement data ingestion pipelines and actively contribute to the evolution of our data environment. Design and develop cutting-edge data ingestion and transformation pipelines that power our Lakehouse platform, ensuring scalability and efficiency for business growth. Take ownership of optimizing storage layers (bronze/silver/gold) and crafting data models to drive impactful analytics and machine learning initiatives. Champion data quality and reliability by implementing robust monitoring, thorough testing, and comprehensive validation processes, guaranteeing trusted insights for decision-makers. Work in close partnership with architects, analysts, and data scientists to create and deliver high-quality datasets Drive excellence across our platform by applying best practices in security, governance, and performance tuning, ensuring our data infrastructure is resilient, compliant, and future-ready. Bring your expertise in Lakehouse technologies such as Databricks, Delta Lake, and Snowflake to shape the future of our data platform. Leverage your skills in Python and SQL, along with hands-on experience in distributed data processing using Spark, to tackle exciting technical challenges. Work with leading cloud platforms—Azure, AWS, or GCP—and their data services to support business solutions. Utilize your solid understanding of ETL/ELT patterns, data modelling, and streaming technologies Showcase your problem-solving abilities by troubleshooting complex data issues within a highly collaborative, cross-functional team environment. Embrace and embody our values of drive and closeness, being there for our clients when it matters. Fluency in Spanish and proficiency in English are essential for effective communication across our diverse teams.

Data Lakehouse Engineer (all gender) Are you passionate about shaping the future of data? We’re seeking a Data Lakehouse Engineer to play a pivotal role in building our next-generation Lakehouse platform. Join us to design and implement data ingestion pipelines and actively contribute to the evolution of our data environment. Design and develop cutting-edge data ingestion and transformation pipelines that power our Lakehouse platform, ensuring scalability and efficiency for business growth. Take ownership of optimizing storage layers (bronze/silver/gold) and crafting data models to drive impactful analytics and machine learning initiatives. Champion data quality and reliability by implementing robust monitoring, thorough testing, and comprehensive validation processes, guaranteeing trusted insights for decision-makers. Work in close partnership with architects, analysts, and data scientists to create and deliver high-quality datasets Drive excellence across our platform by applying best practices in security, governance, and performance tuning, ensuring our data infrastructure is resilient, compliant, and future-ready. Bring your expertise in Lakehouse technologies such as Databricks, Delta Lake, and Snowflake to shape the future of our data platform. Leverage your skills in Python and SQL, along with hands-on experience in distributed data processing using Spark, to tackle exciting technical challenges. Work with leading cloud platforms—Azure, AWS, or GCP—and their data services to support business solutions. Utilize your solid understanding of ETL/ELT patterns, data modelling, and streaming technologies Showcase your problem-solving abilities by troubleshooting complex data issues within a highly collaborative, cross-functional team environment. Embrace and embody our values of drive and closeness, being there for our clients when it matters. Fluency in Spanish and proficiency in English are essential for effective communication across our diverse teams.

Data Lakehouse Engineer (all gender) Are you passionate about shaping the future of data? We’re seeking a Data Lakehouse Engineer to play a pivotal role in building our next-generation Lakehouse platform. Join us to design and implement data ingestion pipelines and actively contribute to the evolution of our data environment. Design and develop cutting-edge data ingestion and transformation pipelines that power our Lakehouse platform, ensuring scalability and efficiency for business growth. Take ownership of optimizing storage layers (bronze/silver/gold) and crafting data models to drive impactful analytics and machine learning initiatives. Champion data quality and reliability by implementing robust monitoring, thorough testing, and comprehensive validation processes, guaranteeing trusted insights for decision-makers. Work in close partnership with architects, analysts, and data scientists to create and deliver high-quality datasets Drive excellence across our platform by applying best practices in security, governance, and performance tuning, ensuring our data infrastructure is resilient, compliant, and future-ready. Bring your expertise in Lakehouse technologies such as Databricks, Delta Lake, and Snowflake to shape the future of our data platform. Leverage your skills in Python and SQL, along with hands-on experience in distributed data processing using Spark, to tackle exciting technical challenges. Work with leading cloud platforms—Azure, AWS, or GCP—and their data services to support business solutions. Utilize your solid understanding of ETL/ELT patterns, data modelling, and streaming technologies Showcase your problem-solving abilities by troubleshooting complex data issues within a highly collaborative, cross-functional team environment. Embrace and embody our values of drive and closeness, being there for our clients when it matters. Fluency in Spanish and proficiency in English are essential for effective communication across our diverse teams.

Data Lakehouse Engineer (all gender) Are you passionate about shaping the future of data? We’re seeking a Data Lakehouse Engineer to play a pivotal role in building our next-generation Lakehouse platform. Join us to design and implement data ingestion pipelines and actively contribute to the evolution of our data environment. Design and develop cutting-edge data ingestion and transformation pipelines that power our Lakehouse platform, ensuring scalability and efficiency for business growth. Take ownership of optimizing storage layers (bronze/silver/gold) and crafting data models to drive impactful analytics and machine learning initiatives. Champion data quality and reliability by implementing robust monitoring, thorough testing, and comprehensive validation processes, guaranteeing trusted insights for decision-makers. Work in close partnership with architects, analysts, and data scientists to create and deliver high-quality datasets Drive excellence across our platform by applying best practices in security, governance, and performance tuning, ensuring our data infrastructure is resilient, compliant, and future-ready. Bring your expertise in Lakehouse technologies such as Databricks, Delta Lake, and Snowflake to shape the future of our data platform. Leverage your skills in Python and SQL, along with hands-on experience in distributed data processing using Spark, to tackle exciting technical challenges. Work with leading cloud platforms—Azure, AWS, or GCP—and their data services to support business solutions. Utilize your solid understanding of ETL/ELT patterns, data modelling, and streaming technologies Showcase your problem-solving abilities by troubleshooting complex data issues within a highly collaborative, cross-functional team environment. Embrace and embody our values of drive and closeness, being there for our clients when it matters. Fluency in Spanish and proficiency in English are essential for effective communication across our diverse teams.

🚀 Data Platform Engineer (Azure Databricks) 📍 Fully Remote from Spain 💰 €25–30/hour 📅 12-month contract (Autonomo setup) We are looking for a Data Platform Engineer to support and evolve multiple Unity Catalog–enabled Azure Databricks environments. This role is focused on platform engineering and operations, NOT on building data pipelines or ML models. You will work on improving, automating, and scaling the platform itself. Key Responsibilities: Platform Engineering & Operations • Improve implementation patterns across jobs and platform components, • Identify and resolve scalability, reliability, and maintainability bottlenecks, • Standardise workspace configurations and environment structures, • Maintain consistent and secure Unity Catalog configurations, • Optimise compute configurations and autoscaling behaviour, • Automate environments using Databricks Asset Bundles (DABs) and Terraform, • Ensure reproducible, versioned environments aligned with CI/CD principles, • Document platform patterns and operational runbooks, • Support engineers and analysts working with Databricks Required Experience: • 3–5+ years in Platform (Data) Engineering, • Strong hands-on experience with Azure Databricks, • Strong knowledge of Unity Catalog (access models, governance, service principals, workspace configs), • Solid PySpark and SQL skills, • Understanding of performance optimisation (partitioning, Z-ordering, caching, data layout), • Experience with CI/CD, Git workflows, and Infrastructure-as-Code, • Bonus: MLOps experience 📩 If you’re based in Spain and available for a 12-month Autonomo contract, feel free to apply or message me directly.

We are looking for a Senior Data Architect & Program Delivery Lead who can operate confidently across two worlds: legacy enterprise data platforms (especially Informatica PowerCenter and Oracle) and modern AWS cloud data architecture. This role is not a pure coding position and not a pure project management role. It requires someone who can lead technical architecture discussions with engineers in English, while also driving program governance, delivery oversight, and stakeholder alignment in a large-scale, multi-team, multi-vendor environment. You will own the technical direction of the migration, define and validate the target architecture, unblock engineering teams, and ensure delivery stays on track through strong governance and execution discipline. 1. Technical Architecture Leadership (AWS + Legacy) • Design and validate cloud-native data architectures using AWS data services., • Analyze and decompose complex Informatica PowerCenter ETL workflows and Oracle data models to define migration patterns and sequencing., • Define the technical roadmap, drive architectural decision records (ADRs), and ensure engineering best practices and standards., • Review designs, code and infrastructure changes to ensure scalability, reliability, and maintainability., • Troubleshoot high-impact technical issues across data pipelines, orchestration, and performance., • Act as technical owner of the stack, including PySpark, AWS Glue/EMR, S3, Redshift, Lake Formation, Informatica PowerCenter, Apache Iceberg, Terraform, SQL/Oracle, and Python. 2. Delivery Leadership and Team Management • Lead delivery execution across multiple agile teams, including planning, ceremonies, and delivery tracking., • Manage and guide teams of 9 to 15 engineers across different geographies and disciplines., • Coordinate dependencies across workstreams and ensure teams are aligned on priorities and implementation approach., • Drive quality standards and ensure deliverables meet expected technical and operational requirements., • Communicate clearly and credibly with engineers and non-technical stakeholders, translating complexity into decisions and actions. 3. Program Governance and Stakeholder Management • Own program governance across stakeholders, vendors, and subcontractors in a multi-party delivery model., • Manage evolving scope, requirements, and expectations, ensuring transparency and decision clarity., • Track progress against milestones, manage risks and blockers, and support resourcing and timeline planning., • Provide clear reporting and updates to senior leadership and governance forums. Technical Background • 3+ years of hands-on experience with Informatica PowerCenter in complex ETL environments., • Strong PySpark skills for production-grade data transformations., • Strong AWS data engineering knowledge, including Glue, EMR, S3, Redshift, and Lake Formation., • Experience with Apache Iceberg or similar modern table formats (Delta Lake, Hudi)., • Infrastructure as Code experience, ideally Terraform., • Proven track record leading large-scale data migrations involving multiple systems and high data volumes., • At least 5 years managing agile data engineering or analytics teams (5 to 15 people)., • Experience working in multi-vendor or subcontractor delivery models., • Strong experience leading distributed, international teams., • Strong English communication (spoken and written), comfortable leading architecture discussions with engineers., • Proactive, solutions-oriented, and confident managing ambiguity and complexity., • Strong stakeholder management and ability to influence decisions across senior audiences., • Experience with Azure or GCP., • Exposure to data quality frameworks and tools., • Familiarity with BI and analytics tools (Power BI, Tableau, Qlik)., • Knowledge of DevOps practices (CI/CD, GitHub Actions)., • Experience with data governance or cataloging solutions., • Experience migrating or extracting data from SAP., • Enterprise data warehousing background (dimensional modeling)., • AWS Solutions Architect (Associate or Professional)., • versión más corta tipo LinkedIn post,

Project description We are seeking a Principal Data Platform Architect with proven experience leading enterprise data platform migrations from Palantir Foundry to Databricks. This role will drive the strategic design, migration, and optimization of the enterprise data ecosystem, transitioning data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture. The successful candidate will provide architectural leadership and technical direction, ensuring data integrity, governance, performance, and long-term platform sustainability. You will collaborate closely with data engineering, DevOps, and business stakeholders to modernize the data platform, establish best practices, and deliver a secure and high-performance migration. Define and execute the end-to-end migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks. -Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL. -Implement validation frameworks to ensure complete data accuracy, consistency, and lineage throughout the migration process. -Optimize Spark workloads, cluster configurations, and storage strategies to ensure high performance and cost-efficient operations in Databricks. -Collaborate with data engineers, platform teams, and business stakeholders to minimize migration risk, ensure smooth cutover, and maintain production stability. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning. Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover. Expert-Level PySpark & Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows. Advanced SQL & Data Modelling Expertise. Cloud Platform Experience (Azure preferred). Hands-on experience deploying and managing data platforms in cloud environments, including storage, security, and networking considerations. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance. Understanding of the Investment Data Domain. Familiarity with Dynatrace or Datadog for system observability and monitoring. Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications. English:

🚀 Data Platform Engineer (Azure Databricks) 📍 Fully Remote from Spain 💰 €25–30/hour 📅 12-month contract (Autonomo setup) We are looking for a Data Platform Engineer to support and evolve multiple Unity Catalog–enabled Azure Databricks environments. This role is focused on platform engineering and operations, NOT on building data pipelines or ML models. You will work on improving, automating, and scaling the platform itself. Key Responsibilities: Platform Engineering & Operations • Improve implementation patterns across jobs and platform components, • Identify and resolve scalability, reliability, and maintainability bottlenecks, • Standardise workspace configurations and environment structures, • Maintain consistent and secure Unity Catalog configurations, • Optimise compute configurations and autoscaling behaviour, • Automate environments using Databricks Asset Bundles (DABs) and Terraform, • Ensure reproducible, versioned environments aligned with CI/CD principles, • Document platform patterns and operational runbooks, • Support engineers and analysts working with Databricks Required Experience: • 3–5+ years in Platform (Data) Engineering, • Strong hands-on experience with Azure Databricks, • Strong knowledge of Unity Catalog (access models, governance, service principals, workspace configs), • Solid PySpark and SQL skills, • Understanding of performance optimisation (partitioning, Z-ordering, caching, data layout), • Experience with CI/CD, Git workflows, and Infrastructure-as-Code, • Bonus: MLOps experience 📩 If you’re based in Spain and available for a 12-month Autonomo contract, feel free to apply or message me directly.

Data Lakehouse Engineer (all gender) Are you passionate about shaping the future of data? We’re seeking a Data Lakehouse Engineer to play a pivotal role in building our next-generation Lakehouse platform. Join us to design and implement data ingestion pipelines and actively contribute to the evolution of our data environment. This is a fantastic opportunity to make a tangible impact while working alongside talented professionals in a collaborative, forward-thinking environment. Your Responsibilities: • Design and develop cutting-edge data ingestion and transformation pipelines that power our Lakehouse platform, ensuring scalability and efficiency for business growth., • Take ownership of optimizing storage layers (bronze/silver/gold) and crafting data models to drive impactful analytics and machine learning initiatives., • Champion data quality and reliability by implementing robust monitoring, thorough testing, and comprehensive validation processes, guaranteeing trusted insights for decision-makers., • Work in close partnership with architects, analysts, and data scientists to create and deliver high-quality datasets, • Drive excellence across our platform by applying best practices in security, governance, and performance tuning, ensuring our data infrastructure is resilient, compliant, and future-ready., • Join us in our vibrant Madrid Hub, where you'll have the opportunity to work alongside talented teams in Switzerland, fostering international collaboration and professional growth. Your profile: • Bring your expertise in Lakehouse technologies such as Databricks, Delta Lake, and Snowflake to shape the future of our data platform., • Leverage your skills in Python and SQL, along with hands-on experience in distributed data processing using Spark, to tackle exciting technical challenges., • Work with leading cloud platforms—Azure, AWS, or GCP—and their data services to support business solutions., • Utilize your solid understanding of ETL/ELT patterns, data modelling, and streaming technologies, • Showcase your problem-solving abilities by troubleshooting complex data issues within a highly collaborative, cross-functional team environment., • Embrace and embody our values of drive and closeness, being there for our clients when it matters., • Fluency in Spanish and proficiency in English are essential for effective communication across our diverse teams.

Data Lakehouse Engineer (all gender) Are you passionate about shaping the future of data? We’re seeking a Data Lakehouse Engineer to play a pivotal role in building our next-generation Lakehouse platform. Join us to design and implement data ingestion pipelines and actively contribute to the evolution of our data environment. This is a fantastic opportunity to make a tangible impact while working alongside talented professionals in a collaborative, forward-thinking environment. Your Responsibilities: • Design and develop cutting-edge data ingestion and transformation pipelines that power our Lakehouse platform, ensuring scalability and efficiency for business growth., • Take ownership of optimizing storage layers (bronze/silver/gold) and crafting data models to drive impactful analytics and machine learning initiatives., • Champion data quality and reliability by implementing robust monitoring, thorough testing, and comprehensive validation processes, guaranteeing trusted insights for decision-makers., • Work in close partnership with architects, analysts, and data scientists to create and deliver high-quality datasets, • Drive excellence across our platform by applying best practices in security, governance, and performance tuning, ensuring our data infrastructure is resilient, compliant, and future-ready., • Join us in our vibrant Madrid Hub, where you'll have the opportunity to work alongside talented teams in Switzerland, fostering international collaboration and professional growth. Your profile: • Bring your expertise in Lakehouse technologies such as Databricks, Delta Lake, and Snowflake to shape the future of our data platform., • Leverage your skills in Python and SQL, along with hands-on experience in distributed data processing using Spark, to tackle exciting technical challenges., • Work with leading cloud platforms—Azure, AWS, or GCP—and their data services to support business solutions., • Utilize your solid understanding of ETL/ELT patterns, data modelling, and streaming technologies, • Showcase your problem-solving abilities by troubleshooting complex data issues within a highly collaborative, cross-functional team environment., • Embrace and embody our values of drive and closeness, being there for our clients when it matters., • Fluency in Spanish and proficiency in English are essential for effective communication across our diverse teams.

We are looking for a Senior Data Architect & Program Delivery Lead who can operate confidently across two worlds: legacy enterprise data platforms (especially Informatica PowerCenter and Oracle) and modern AWS cloud data architecture. This role is not a pure coding position and not a pure project management role. It requires someone who can lead technical architecture discussions with engineers in English, while also driving program governance, delivery oversight, and stakeholder alignment in a large-scale, multi-team, multi-vendor environment. You will own the technical direction of the migration, define and validate the target architecture, unblock engineering teams, and ensure delivery stays on track through strong governance and execution discipline. 1. Technical Architecture Leadership (AWS + Legacy) • Design and validate cloud-native data architectures using AWS data services., • Analyze and decompose complex Informatica PowerCenter ETL workflows and Oracle data models to define migration patterns and sequencing., • Define the technical roadmap, drive architectural decision records (ADRs), and ensure engineering best practices and standards., • Review designs, code and infrastructure changes to ensure scalability, reliability, and maintainability., • Troubleshoot high-impact technical issues across data pipelines, orchestration, and performance., • Act as technical owner of the stack, including PySpark, AWS Glue/EMR, S3, Redshift, Lake Formation, Informatica PowerCenter, Apache Iceberg, Terraform, SQL/Oracle, and Python. 2. Delivery Leadership and Team Management • Lead delivery execution across multiple agile teams, including planning, ceremonies, and delivery tracking., • Manage and guide teams of 9 to 15 engineers across different geographies and disciplines., • Coordinate dependencies across workstreams and ensure teams are aligned on priorities and implementation approach., • Drive quality standards and ensure deliverables meet expected technical and operational requirements., • Communicate clearly and credibly with engineers and non-technical stakeholders, translating complexity into decisions and actions. 3. Program Governance and Stakeholder Management • Own program governance across stakeholders, vendors, and subcontractors in a multi-party delivery model., • Manage evolving scope, requirements, and expectations, ensuring transparency and decision clarity., • Track progress against milestones, manage risks and blockers, and support resourcing and timeline planning., • Provide clear reporting and updates to senior leadership and governance forums. Technical Background • 3+ years of hands-on experience with Informatica PowerCenter in complex ETL environments., • Strong PySpark skills for production-grade data transformations., • Strong AWS data engineering knowledge, including Glue, EMR, S3, Redshift, and Lake Formation., • Experience with Apache Iceberg or similar modern table formats (Delta Lake, Hudi)., • Infrastructure as Code experience, ideally Terraform., • Proven track record leading large-scale data migrations involving multiple systems and high data volumes., • At least 5 years managing agile data engineering or analytics teams (5 to 15 people)., • Experience working in multi-vendor or subcontractor delivery models., • Strong experience leading distributed, international teams., • Strong English communication (spoken and written), comfortable leading architecture discussions with engineers., • Proactive, solutions-oriented, and confident managing ambiguity and complexity., • Strong stakeholder management and ability to influence decisions across senior audiences., • Experience with Azure or GCP., • Exposure to data quality frameworks and tools., • Familiarity with BI and analytics tools (Power BI, Tableau, Qlik)., • Knowledge of DevOps practices (CI/CD, GitHub Actions)., • Experience with data governance or cataloging solutions., • Experience migrating or extracting data from SAP., • Enterprise data warehousing background (dimensional modeling)., • AWS Solutions Architect (Associate or Professional)., • versión más corta tipo LinkedIn post,

Project description We are seeking a Principal Data Platform Architect with proven experience leading enterprise data platform migrations from Palantir Foundry to Databricks. This role will drive the strategic design, migration, and optimization of the enterprise data ecosystem, transitioning data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture. The successful candidate will provide architectural leadership and technical direction, ensuring data integrity, governance, performance, and long-term platform sustainability. You will collaborate closely with data engineering, DevOps, and business stakeholders to modernize the data platform, establish best practices, and deliver a secure and high-performance migration. Responsibilities -Define and execute the end-to-end migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks. -Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL. -Implement validation frameworks to ensure complete data accuracy, consistency, and lineage throughout the migration process. -Optimize Spark workloads, cluster configurations, and storage strategies to ensure high performance and cost-efficient operations in Databricks. -Collaborate with data engineers, platform teams, and business stakeholders to minimize migration risk, ensure smooth cutover, and maintain production stability. Skills Advanced Databricks Experience. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning. Proven Migration Experience (Palantir → Databricks). Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover. Expert-Level PySpark & Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows. Advanced SQL & Data Modelling Expertise. Experience in dimensional modeling, lakehouse architecture patterns, and query optimization. Cloud Platform Experience (Azure preferred). Hands-on experience deploying and managing data platforms in cloud environments, including storage, security, and networking considerations. Nice to have Hands-on Expertise in Palantir Foundry. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance. Understanding of the Investment Data Domain. Familiarity with Dynatrace or Datadog for system observability and monitoring. Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications. Languages English: C1 Advanced

Project description We are seeking a Principal Data Platform Architect with proven experience leading enterprise data platform migrations from Palantir Foundry to Databricks. This role will drive the strategic design, migration, and optimization of the enterprise data ecosystem, transitioning data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture. The successful candidate will provide architectural leadership and technical direction, ensuring data integrity, governance, performance, and long-term platform sustainability. You will collaborate closely with data engineering, DevOps, and business stakeholders to modernize the data platform, establish best practices, and deliver a secure and high-performance migration. Responsibilities -Define and execute the end-to-end migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks. -Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL. -Implement validation frameworks to ensure complete data accuracy, consistency, and lineage throughout the migration process. -Optimize Spark workloads, cluster configurations, and storage strategies to ensure high performance and cost-efficient operations in Databricks. -Collaborate with data engineers, platform teams, and business stakeholders to minimize migration risk, ensure smooth cutover, and maintain production stability. Skills Advanced Databricks Experience. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning. Proven Migration Experience (Palantir → Databricks). Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover. Expert-Level PySpark & Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows. Advanced SQL & Data Modelling Expertise. Experience in dimensional modeling, lakehouse architecture patterns, and query optimization. Cloud Platform Experience (Azure preferred). Hands-on experience deploying and managing data platforms in cloud environments, including storage, security, and networking considerations. Nice to have Hands-on Expertise in Palantir Foundry. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance. Understanding of the Investment Data Domain. Familiarity with Dynatrace or Datadog for system observability and monitoring. Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications. Languages English: C1 Advanced

En } ReCodme ( aceleramos el desarrollo tecnológico de nuestros clientes y colaboradores a través de soluciones especializadas, aportando valor en su continuidad y crecimiento. Creemos en la cercanía con nuestras personas y en el valor añadido que aportan a nuestro equipo y proyectos. ¡Un ReCoder es un aficionado de la tecnología, es [la clave de nuestro éxito], la clave de nuestra Fuerza!”. Actualmente estamos buscando un Ingeniero/a de Datos (Azure), para incorporarse con nosotros al proyecto de uno de nuestros clientes en modalidad remota. ¿Qué necesitas para formar parte de este proyecto? 📢 Requisitos: • 2-3 años de experiencia como Ingeniero de Datos o posiciones relacionadas (analista, analytics, data scientist..., en entorno Azure), • Experiencia en desarrollo con Python y uso de PySpark., • Expertise con SQL (Postgres, MySQL, SQL Server...), • Experiencia trabajando con Databricks y Azure Data Factory, • CICD: Git / Azure DevOps., • Conocimiento basico de Kafka o Event Hubs. 📢 Funciones: • Desarrollo y mantenimiento de ETL/ELT en batch y streaming con Databricks/PySpark., • Gestionar el procesamiento y almacenamiento de datos con Delta Lake., • Soporte en procesos de CI/CD con Azure DevOps., • Colaboración estrecha con Data Scientist y Analistas de datos., • Resolución de problemas y optimización de pipelines. 📢 Idiomas: • Español (nativo), • Inglés (B2) 📢 Modalidad: • Remota (preferencia por residir en Madrid pero remoto 100%) ¿Estás listo para esta fuerza? Presenta tu candidatura. En Recodme defendemos la igualdad y valoramos la diversidad. Creamos un ambiente seguro, diverso y donde las oportunidades son iguales para todos los colaboradores. No discriminamos por edad, etnia, orientación sexual, género, discapacidad o cualquier otro factor que no sea el mérito. ¡Todas las candidaturas con las habilidades necesarias para el puesto son bienvenidas!

Project Description: The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week. Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart. Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business. Responsibilities:We are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture. Skills Description: • Readiness to work until 8.00 pm CET (no need to do overtimes), • Overall years of experience required 8+, • Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years)., • Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval., • Hands-on experience with Power BI, including data modeling, report and dashboard development, and building interactive, business-ready visualizations based on enterprise data sources., • Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions., • Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses., • Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing., • Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault), • Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages., • Experience integrating metadata and governance processes into cloud-based data platforms, • Certification in Azure, Databricks, or other relevant technologies is an added advantage, • Experience with cloud-based analytical databases., • Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix., • Experience with Python and Python-based ETL tools., • Experience with shell scripting in Bash, Unix or windows shell is preferable. Nice-to-Have Skills: • Experience with Elasticsearch, • Familiarity with containerization and orchestration technologies (Docker, Kubernetes)., • Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis., • Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams. Languages: English: B2 Upper Intermediate

Data Lakehouse Engineer (all gender) Are you passionate about shaping the future of data? We’re seeking a Data Lakehouse Engineer to play a pivotal role in building our next-generation Lakehouse platform. Join us to design and implement data ingestion pipelines and actively contribute to the evolution of our data environment. Design and develop cutting-edge data ingestion and transformation pipelines that power our Lakehouse platform, ensuring scalability and efficiency for business growth. Take ownership of optimizing storage layers (bronze/silver/gold) and crafting data models to drive impactful analytics and machine learning initiatives. Champion data quality and reliability by implementing robust monitoring, thorough testing, and comprehensive validation processes, guaranteeing trusted insights for decision-makers. Work in close partnership with architects, analysts, and data scientists to create and deliver high-quality datasets Drive excellence across our platform by applying best practices in security, governance, and performance tuning, ensuring our data infrastructure is resilient, compliant, and future-ready. Bring your expertise in Lakehouse technologies such as Databricks, Delta Lake, and Snowflake to shape the future of our data platform. Leverage your skills in Python and SQL, along with hands-on experience in distributed data processing using Spark, to tackle exciting technical challenges. Work with leading cloud platforms—Azure, AWS, or GCP—and their data services to support business solutions. Utilize your solid understanding of ETL/ELT patterns, data modelling, and streaming technologies Showcase your problem-solving abilities by troubleshooting complex data issues within a highly collaborative, cross-functional team environment. Embrace and embody our values of drive and closeness, being there for our clients when it matters. Fluency in Spanish and proficiency in English are essential for effective communication across our diverse teams.

Project description We are seeking a Principal Data Platform Architect with proven experience leading enterprise data platform migrations from Palantir Foundry to Databricks. This role will drive the strategic design, migration, and optimization of the enterprise data ecosystem, transitioning data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture. The successful candidate will provide architectural leadership and technical direction, ensuring data integrity, governance, performance, and long-term platform sustainability. You will collaborate closely with data engineering, DevOps, and business stakeholders to modernize the data platform, establish best practices, and deliver a secure and high-performance migration. Define and execute the end-to-end migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks. -Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL. -Implement validation frameworks to ensure complete data accuracy, consistency, and lineage throughout the migration process. -Optimize Spark workloads, cluster configurations, and storage strategies to ensure high performance and cost-efficient operations in Databricks. -Collaborate with data engineers, platform teams, and business stakeholders to minimize migration risk, ensure smooth cutover, and maintain production stability. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning. Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover. Expert-Level PySpark & Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows. Advanced SQL & Data Modelling Expertise. Cloud Platform Experience (Azure preferred). Hands-on experience deploying and managing data platforms in cloud environments, including storage, security, and networking considerations. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance. Understanding of the Investment Data Domain. Familiarity with Dynatrace or Datadog for system observability and monitoring. Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications. English:

We are looking for a Senior Data Architect & Program Delivery Lead who can operate confidently across two worlds : legacy enterprise data platforms (especially Informatica PowerCenter and Oracle ) and modern AWS cloud data architecture . This role is not a pure coding position and not a pure project management role. It requires someone who can lead technical architecture discussions with engineers in English , while also driving program governance, delivery oversight, and stakeholder alignment in a large-scale, multi-team, multi-vendor environment. You will own the technical direction of the migration, define and validate the target architecture, unblock engineering teams, and ensure delivery stays on track through strong governance and execution discipline. Delivery and Leadership Experience Proven track record leading large-scale data migrations involving multiple systems and high data volumes. At least 5 years managing agile data engineering or analytics teams (5 to 15 people). Experience working in multi-vendor or subcontractor delivery models. Strong experience leading distributed, international teams. Demonstrated ability to communicate technical concepts clearly to non-technical audiences. Communication and Soft Skills Strong English communication (spoken and written), comfortable leading architecture discussions with engineers. Proactive, solutions-oriented, and confident managing ambiguity and complexity. Strong stakeholder management and ability to influence decisions across senior audiences. Structured approach to governance, reporting, and delivery accountability. Preferred Qualifications Experience with Azure or GCP . Exposure to data quality frameworks and tools. Familiarity with BI and analytics tools (Power BI, Tableau, Qlik). Knowledge of DevOps practices (CI/CD, GitHub Actions). Experience with data governance or cataloging solutions. Experience migrating or extracting data from SAP . Enterprise data warehousing background (dimensional modeling). Domain experience in manufacturing or supply chain data is a plus. Certifications (Nice to Have) AWS Solutions Architect (Associate or Professional). SAFe , PRINCE2 , or PMP . Si quieres, te la dejo también en 2 versiones más listas para publicar: versión más corta tipo LinkedIn post, versión “consulting style” para enviar a vendors. Is this conversation helpful so far?

We are looking for a Senior Data Architect & Program Delivery Lead who can operate confidently across two worlds : legacy enterprise data platforms (especially Informatica PowerCenter and Oracle ) and modern AWS cloud data architecture .This role is not a pure coding position and not a pure project management role. It requires someone who can lead technical architecture discussions with engineers in English , while also driving program governance, delivery oversight, and stakeholder alignment in a large-scale, multi-team, multi-vendor environment.You will own the technical direction of the migration, define and validate the target architecture, unblock engineering teams, and ensure delivery stays on track through strong governance and execution discipline. Desplácese hacia abajo para encontrar una descripción detallada de este trabajo y lo que se espera de los candidatos. Envíe su solicitud haciendo clic en el botón "Solicitar". Delivery and Leadership ExperienceProven track record leading large-scale data migrations involving multiple systems and high data volumes.At least 5 years managing agile data engineering or analytics teams (5 to 15 people).Experience working in multi-vendor or subcontractor delivery models.Strong experience leading distributed, international teams.Demonstrated ability to communicate technical concepts clearly to non-technical audiences.Communication and Soft SkillsStrong English communication (spoken and written), comfortable leading architecture discussions with engineers.Proactive, solutions-oriented, and confident managing ambiguity and complexity.Strong stakeholder management and ability to influence decisions across senior audiences.Structured approach to governance, reporting, and delivery accountability.Preferred QualificationsExperience with Azure or GCP .Exposure to data quality frameworks and tools.Familiarity with BI and analytics tools (Power BI, Tableau, Qlik).Knowledge of DevOps practices (CI/CD, GitHub Actions).Experience with data governance or cataloging solutions.Experience migrating or extracting data from SAP .Enterprise data warehousing background (dimensional modeling).Domain experience in manufacturing or supply chain data is a plus.Certifications (Nice to Have)AWS Solutions Architect (Associate or Professional). xcskxlj SAFe , PRINCE2 , or PMP .Si quieres, te la dejo también en 2 versiones más listas para publicar:# versión más corta tipo LinkedIn post,# versión "consulting style" para enviar a vendors. Is this conversation helpful so far?

We are looking for a Senior Data Architect & Program Delivery Lead who can operate confidently across two worlds : legacy enterprise data platforms (especially Informatica PowerCenter and Oracle ) and modern AWS cloud data architecture .This role is not a pure coding position and not a pure project management role. It requires someone who can lead technical architecture discussions with engineers in English , while also driving program governance, delivery oversight, and stakeholder alignment in a large-scale, multi-team, multi-vendor environment.You will own the technical direction of the migration, define and validate the target architecture, unblock engineering teams, and ensure delivery stays on track through strong governance and execution discipline. Desplácese hacia abajo para encontrar una descripción detallada de este trabajo y lo que se espera de los candidatos. Envíe su solicitud haciendo clic en el botón "Solicitar". Delivery and Leadership ExperienceProven track record leading large-scale data migrations involving multiple systems and high data volumes.At least 5 years managing agile data engineering or analytics teams (5 to 15 people).Experience working in multi-vendor or subcontractor delivery models.Strong experience leading distributed, international teams.Demonstrated ability to communicate technical concepts clearly to non-technical audiences.Communication and Soft SkillsStrong English communication (spoken and written), comfortable leading architecture discussions with engineers.Proactive, solutions-oriented, and confident managing ambiguity and complexity.Strong stakeholder management and ability to influence decisions across senior audiences.Structured approach to governance, reporting, and delivery accountability.Preferred QualificationsExperience with Azure or GCP .Exposure to data quality frameworks and tools.Familiarity with BI and analytics tools (Power BI, Tableau, Qlik).Knowledge of DevOps practices (CI/CD, GitHub Actions).Experience with data governance or cataloging solutions.Experience migrating or extracting data from SAP .Enterprise data warehousing background (dimensional modeling).Domain experience in manufacturing or supply chain data is a plus.Certifications (Nice to Have)AWS Solutions Architect (Associate or Professional). xcskxlj SAFe , PRINCE2 , or PMP .Si quieres, te la dejo también en 2 versiones más listas para publicar:# versión más corta tipo LinkedIn post,# versión "consulting style" para enviar a vendors. Is this conversation helpful so far?

¿Eres experto/a en A3 NOM y buscas un nuevo reto profesional? Para ser considerado para una entrevista, por favor, asegúrese de que su solicitud se ajusta plenamente a las especificaciones del puesto que se encuentran a continuación. En Corporación Jurídica seguimos creciendo y buscamos incorporar a un/a Asesor/a Laboral especializado/a en gestión técnica para nuestro equipo de Elche. Si te apasiona el área operativa laboral, dominas las herramientas digitales de la Seguridad Social y buscas un entorno de trabajo sólido y profesional, ¡queremos conocerte! ¿Qué funciones realizarás? Ciclo completo de nómina: Preparación, cálculo y control de procesos de nómina. Gestión de Seguros Sociales: Liquidación de cuotas a través del Sistema RED. Trámites de Afiliación: Altas, bajas, variaciones de datos y comunicación de partes de IT/AT. Contratación Laboral: Formalización de contratos y comunicaciones a través de técnico: Resolución de dudas de clientes sobre convenios colectivos y normativa vigente. ¿Qué buscamos en ti? Dominio experto de A3 NOM (Requisito indispensable). * Experiencia mínima de 3 años en asesoría de empresas o departamentos de RRHH con alto volumen de gestión. Conocimiento profundo del Sistema RED, SILTRA, Delta/Co NTA. Capacidad de organización, atención al detalle y orientación al cliente. ¿Qué ofrecemos? Incorporación inmediata a una firma jurídica de prestigio. Contrato indefinido a jornada completa. Ambiente de trabajo colaborativo y dinámico. xcskxlj Oportunidades de actualización constante en normativa laboral.

At Lognext we have been accompanying companies and teams for more than 18 years to identify and implement the technology necessary to advance, making their challenges and objectives our own and getting closer to their reality. Therefore, being a NEXTER means that your career and talent become meaningful to you and those around you, allowing you to build what matters most to you and reach your next level. We are looking for a Data Management Specialist to join our team for a multinational leader in the technology sector. 📌Key Responsibilities: • The candidate will have a minimum of 5 years of experience as a Data Engineer, with proven expertise in designing and implementing cloud and on-premises data solutions., • Experience with public cloud platforms such as Azure, AWS, or GCP, and hands-on experience with Azure Fabric, Data Factory, Synapse, Databricks, Logic Apps, etc., • Experience designing, building, and maintaining ETL/ELT pipelines, Data Lakes, Delta Lakes, and data integration solutions., • Proficiency in data transformation languages such as Python, PySpark, SparkSQL, T-SQL., • Experience with data modeling tools and working in distributed data architecture teams (on-premises or cloud)., • Experience with data visualization tools such as Tableau or Power BI is a plus., • Good level of English (minimum B2). 💡Skills: • Strong experience with one or more public cloud platforms (Azure, AWS, GCP) and experience integrating solutions across clouds., • Proficiency with cloud-native data services (Azure Data Factory, AWS Glue, GCP Dataflow) and orchestration frameworks, particularly with Azure services for data integration and analytics (Fabric, Data Factory, Synapse, Databricks, Logic Apps, etc.)., • Proven experience with Python, PySpark, SparkSQL, T-SQL, and other data transformation languages., • Experience with relational database engines such as SQL Server, PostgreSQL, or MySQL., • Experience in implementing CI/CD pipelines in cloud environments. 👉 Job Conditions & Benefits: • 📜 Permanent contract., • 📍 Work Mode: Remote., • 💰 Competitive salary., • 💻 Remote work assistance., • 🎓 Professional Development: Access to an annual budget dedicated to advancing your skills through professional certifications. Join our expert team, where creativity, commitment, and the ability to bring new perspectives are essential to make a difference in a world full of opportunities. 🚀 Are you ready for your NEXT LEVEL? In Lognext we are committed to equality between women and men and as proof of this, we have a registered and published Lognext Equality Plan. We also believe that multiculturalism is a source of values, experiences, and knowledge that add value to our projects, which is why we believe in diversity, and we are committed to it. We work every day to create environments where people are treated with respect and dignity no matter where they come from, we do not discriminate based on religion or beliefs, ethnicity, disability, age, nationality, marital status, sexual orientation, or gender. #Employment #Technology #Innovation #ProfessionalDevelopment #Equality #Diversity.

At Lognext we have been accompanying companies and teams for more than 18 years to identify and implement the technology necessary to advance, making their challenges and objectives our own and getting closer to their reality. Therefore, being a NEXTER means that your career and talent become meaningful to you and those around you, allowing you to build what matters most to you and reach your next level. We are looking for a Data Management Specialist to join our team for a multinational leader in the technology sector. 📌Key Responsibilities: • The candidate will have a minimum of 5 years of experience as a Data Engineer, with proven expertise in designing and implementing cloud and on-premises data solutions., • Experience with public cloud platforms such as Azure, AWS, or GCP, and hands-on experience with Azure Fabric, Data Factory, Synapse, Databricks, Logic Apps, etc., • Experience designing, building, and maintaining ETL/ELT pipelines, Data Lakes, Delta Lakes, and data integration solutions., • Proficiency in data transformation languages such as Python, PySpark, SparkSQL, T-SQL., • Experience with data modeling tools and working in distributed data architecture teams (on-premises or cloud)., • Experience with data visualization tools such as Tableau or Power BI is a plus., • Good level of English (minimum B2). 💡Skills: • Strong experience with one or more public cloud platforms (Azure, AWS, GCP) and experience integrating solutions across clouds., • Proficiency with cloud-native data services (Azure Data Factory, AWS Glue, GCP Dataflow) and orchestration frameworks, particularly with Azure services for data integration and analytics (Fabric, Data Factory, Synapse, Databricks, Logic Apps, etc.)., • Proven experience with Python, PySpark, SparkSQL, T-SQL, and other data transformation languages., • Experience with relational database engines such as SQL Server, PostgreSQL, or MySQL., • Experience in implementing CI/CD pipelines in cloud environments. 👉 Job Conditions & Benefits: • 📜 Permanent contract., • 📍 Work Mode: Remote., • 💰 Competitive salary., • 💻 Remote work assistance., • 🎓 Professional Development: Access to an annual budget dedicated to advancing your skills through professional certifications. Join our expert team, where creativity, commitment, and the ability to bring new perspectives are essential to make a difference in a world full of opportunities. 🚀 Are you ready for your NEXT LEVEL? In Lognext we are committed to equality between women and men and as proof of this, we have a registered and published Lognext Equality Plan. We also believe that multiculturalism is a source of values, experiences, and knowledge that add value to our projects, which is why we believe in diversity, and we are committed to it. We work every day to create environments where people are treated with respect and dignity no matter where they come from, we do not discriminate based on religion or beliefs, ethnicity, disability, age, nationality, marital status, sexual orientation, or gender. #Employment #Technology #Innovation #ProfessionalDevelopment #Equality #Diversity.

Our goal is to strengthen the brand in Spain. We are looking for an expert to work as SAP dCEM (Digital Customer Engagement Manager)! What do you need to fulfill this job? • Technical expertise in SAP Basis area with minimum of 5+ years of experience., • 2+ Cloud knowledge (e.g. through Solution Management, Consulting and/or Delivery Program management)., • Good understanding & hands-on experience required in S/4 HANA Application & HANA database., • Experience in SAP Upgrade & Migration (OS/DB) is mandatory., • Experience in SaaS products (Ariba, Salesforce, C4S etc.) integration with SAP Landscape is plus., • Hands-on experience in any of hyper scaler (AWS/ Azure/ GCP) is needed., • Have a scope of learning new technologies on SAP Products (S/4HANA, HANA Database, MDG, SaaS Products (Ariba, Salesforce etc.) & Cloud (AWS, Azure OR GCP), • Will have access to all SAP internal training & learning materials to gain knowledge in latest technologies., • Will gain exposure to all latest build architectures in one single place/ position which will be valuable/ useful in future., • Will not be assigned/ dedicated to one single customer but will engage with Multiple customers in various Industries to gain knowledge about different SAP Landscape setups, Delivery processes & Challenges., • Will rotate in different internal SAP dCEM CoE (Migrations, Upgrade, Escalation, Go-Live etc.), • Technical Architecture, Landscape issues/ queries guidance to end customers., • Supports sales to delivery handover and customer onboarding to SAP Enterprise Cloud Services, • Contributes to onboarding/transitioning customers to SAP ENTERPRISE CLOUD SERVICES, • Orchestrates the overall service/project delivery according to planned scope, budget, and milestones, • Supports in de-escalations of critical customer situations, • Supports critical customer situations in conjunction with Major Incident Management (MIM), SAP Enterprise Cloud Services Customer Office teams and SAP Product Support, as applicable, • Contributes to customer release and maintenance activities, • Supports customers on technical requirements throughout their lifecycle within the SAP Enterprise, • Executes and supports problem management and continuous improvement, • Contributes to the liaison with different SAP stakeholders, esp. Virtual customer success partner involved in the accounts, to ensure customer success, • Supports in reviewing account status and analyzing if account needs to be transitioned to another team, based on growth in volume or complexity of the account overtime., • Systematic and faster onboarding of associates: mandatory trainings documentation, • Enable continuous delta KTs on new topics and refresher sessions. About HCLTech: We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey in advancing the technological world through innovation and creativity. Why Us? • We offer End-to-end digital transformation expertise that helps clients from strategy through execution. We work with the biggest brands, offering the opportunity to be a part of industry-leading work., • We are invested in your growth, offering learning and career development opportunities at every level to help you find your spark., • We offer freedom and flexibility on the job, empowering our employees to make decisions., • We offer a virtual-first work environment, promoting a good work-life balance and real flexibility Our company is extremely diverse with representation of 165 nationalities., • We offer the opportunity to work with colleagues across the globe., • We are a certified great place to work and a top employer in 25 countries including Romania, offering a positive work environment that values employee recognition and respect. If you have a valid disability certificate, Certificate of Disability in Force, please contact us. Among HCL's principles we would like to highlight diversity and inclusion as a strength in our values and practices. To achieve all our objectives, it intends to attract, develop, and retain different profiles, assuming diversity as a key factor and differentiator of fundamental innovation in our organization. We welcome and value all people, and we are committed to the inclusion and sense of belonging of each person who is part of HCL. • HCL is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.

En } ReCodme ( aceleramos el desarrollo tecnológico de nuestros clientes y colaboradores a través de soluciones especializadas, aportando valor en su continuidad y crecimiento. Creemos en la cercanía con nuestras personas y en el valor añadido que aportan a nuestro equipo y proyectos. ¡Un ReCoder es un aficionado de la tecnología, es [la clave de nuestro éxito], la clave de nuestra Fuerza!”. Actualmente estamos buscando un Ingeniero/a de Datos (Azure), para incorporarse con nosotros al proyecto de uno de nuestros clientes en modalidad remota. ¿Qué necesitas para formar parte de este proyecto? 📢 Requisitos: • 2-3 años de experiencia como Ingeniero de Datos o posiciones relacionadas (analista, analytics, data scientist..., en entorno Azure), • Experiencia en desarrollo con Python y uso de PySpark., • Expertise con SQL (Postgres, MySQL, SQL Server...), • Experiencia trabajando con Databricks y Azure Data Factory, • CICD: Git / Azure DevOps., • Conocimiento basico de Kafka o Event Hubs. 📢 Funciones: • Desarrollo y mantenimiento de ETL/ELT en batch y streaming con Databricks/PySpark., • Gestionar el procesamiento y almacenamiento de datos con Delta Lake., • Soporte en procesos de CI/CD con Azure DevOps., • Colaboración estrecha con Data Scientist y Analistas de datos., • Resolución de problemas y optimización de pipelines. 📢 Idiomas: • Español (nativo), • Inglés (B2) 📢 Modalidad: • Remota (preferencia por residir en Madrid pero remoto 100%) ¿Estás listo para esta fuerza? Presenta tu candidatura. En Recodme defendemos la igualdad y valoramos la diversidad. Creamos un ambiente seguro, diverso y donde las oportunidades son iguales para todos los colaboradores. No discriminamos por edad, etnia, orientación sexual, género, discapacidad o cualquier otro factor que no sea el mérito. ¡Todas las candidaturas con las habilidades necesarias para el puesto son bienvenidas!

Project description We are seeking a Principal Data Platform Architect with proven experience leading enterprise data platform migrations from Palantir Foundry to Databricks. This role will drive the strategic design, migration, and optimization of the enterprise data ecosystem, transitioning data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture. The successful candidate will provide architectural leadership and technical direction, ensuring data integrity, governance, performance, and long-term platform sustainability. You will collaborate closely with data engineering, DevOps, and business stakeholders to modernize the data platform, establish best practices, and deliver a secure and high-performance migration. Define and execute the end-to-end migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks. -Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL. -Implement validation frameworks to ensure complete data accuracy, consistency, and lineage throughout the migration process. -Optimize Spark workloads, cluster configurations, and storage strategies to ensure high performance and cost-efficient operations in Databricks. -Collaborate with data engineers, platform teams, and business stakeholders to minimize migration risk, ensure smooth cutover, and maintain production stability. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning. Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover. Expert-Level PySpark & Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows. Advanced SQL & Data Modelling Expertise. Cloud Platform Experience (Azure preferred). Hands-on experience deploying and managing data platforms in cloud environments, including storage, security, and networking considerations. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance. Understanding of the Investment Data Domain. Familiarity with Dynatrace or Datadog for system observability and monitoring. Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications. English:

¿Eres experto/a en A3NOM y buscas un nuevo reto profesional? En Corporación Jurídica seguimos creciendo y buscamos incorporar a un/a Asesor/a Laboral especializado/a en gestión técnica para nuestro equipo de Elche. Si te apasiona el área operativa laboral, dominas las herramientas digitales de la Seguridad Social y buscas un entorno de trabajo sólido y profesional, ¡queremos conocerte! ¿Qué funciones realizarás? • Ciclo completo de nómina: Preparación, cálculo y control de procesos de nómina., • Gestión de Seguros Sociales: Liquidación de cuotas a través del Sistema RED., • Trámites de Afiliación: Altas, bajas, variaciones de datos y comunicación de partes de IT/AT., • Contratación Laboral: Formalización de contratos y comunicaciones a través de, • Dominio experto de A3NOM (Requisito indispensable). * Experiencia mínima de 3 años en asesoría de empresas o departamentos de RRHH con alto volumen de gestión., • Conocimiento profundo del Sistema RED, SILTRA, Contrat@ y Delta/CoNTA., • Incorporación inmediata a una firma jurídica de prestigio., • Contrato indefinido a jornada completa., • Ambiente de trabajo colaborativo y dinámico., • Oportunidades de actualización constante en normativa laboral.

We are looking for a Senior Data Architect & Program Delivery Lead who can operate confidently across two worlds: legacy enterprise data platforms (especially Informatica PowerCenter and Oracle) and modern AWS cloud data architecture. Asegúrese de presentar su candidatura con toda la información solicitada, tal como se expone en la descripción del puesto a continuación. This role is not a pure coding position and not a pure project management role. It requires someone who can lead technical architecture discussions with engineers in English, while also driving program governance, delivery oversight, and stakeholder alignment in a large-scale, multi-team, multi-vendor environment. You will own the technical direction of the migration, define and validate the target architecture, unblock engineering teams, and ensure delivery stays on track through strong governance and execution discipline. 1. Technical Architecture Leadership (AWS + Legacy) • Design and validate cloud-native data architectures using AWS data services., • Analyze and decompose complex Informatica PowerCenter ETL workflows and Oracle data models to define migration patterns and sequencing., • Define the technical roadmap, drive architectural decision records (ADRs), and ensure engineering best practices and standards., • Review designs, code and infrastructure changes to ensure scalability, reliability, and maintainability., • Troubleshoot high-impact technical issues across data pipelines, orchestration, and performance., • Act as technical owner of the stack, including PySpark, AWS Glue/EMR, S3, Redshift, Lake Formation, Informatica PowerCenter, Apache Iceberg, Terraform, SQL/Oracle, and Python. 2. Delivery Leadership and Team Management • Lead delivery execution across multiple agile teams, including planning, ceremonies, and delivery tracking., • Manage and guide teams of 9 to 15 engineers across different geographies and disciplines., • Coordinate dependencies across workstreams and ensure teams are aligned on priorities and implementation approach., • Drive quality standards and ensure deliverables meet expected technical and operational requirements., • Communicate clearly and credibly with engineers and non-technical stakeholders, translating complexity into decisions and actions. 3. Program Governance and Stakeholder Management • Own program governance across stakeholders, vendors, and subcontractors in a multi-party delivery model., • Manage evolving scope, requirements, and expectations, ensuring transparency and decision clarity., • Track progress against milestones, manage risks and blockers, and support resourcing and timeline planning., • Provide clear reporting and updates to senior leadership and governance forums. Technical Background • 3+ years of hands-on experience with Informatica PowerCenter in complex ETL environments., • Strong PySpark skills for production-grade data transformations., • Strong AWS data engineering knowledge, including Glue, EMR, S3, Redshift, and Lake Formation., • Experience with Apache Iceberg or similar modern table formats (Delta Lake, Hudi)., • Infrastructure as Code experience, ideally Terraform., • Proven track record leading large-scale data migrations involving multiple systems and high data volumes., • At least 5 years managing agile data engineering or analytics teams (5 to 15 people)., • Experience working in multi-vendor or subcontractor delivery models., • Strong experience leading distributed, international teams., • Strong English communication (spoken and written), comfortable leading architecture discussions with engineers., • Proactive, solutions-oriented, and confident managing ambiguity and complexity., • Strong stakeholder management and ability to influence decisions across senior audiences., • Experience with Azure or GCP., • Exposure to data quality frameworks and tools., • Familiarity with BI and analytics tools (Power BI, Tableau, Qlik)., • Knowledge of DevOps practices (CI/CD, GitHub Actions)., • Experience with data governance or cataloging solutions., • Experience migrating or extracting data from SAP., • Enterprise data warehousing background (dimensional modeling)., • AWS Solutions Architect (Associate or Professional)., • versión más corta tipo LinkedIn post,

Our goal is to strengthen the brand in Spain. We are looking for an expert to work as SAP dCEM (Digital Customer Engagement Manager)! What do you need to fulfill this job? • Technical expertise in SAP Basis area with minimum of 5+ years of experience., • 2+ Cloud knowledge (e.g. through Solution Management, Consulting and/or Delivery Program management)., • Good understanding & hands-on experience required in S/4 HANA Application & HANA database., • Experience in SAP Upgrade & Migration (OS/DB) is mandatory., • Experience in SaaS products (Ariba, Salesforce, C4S etc.) integration with SAP Landscape is plus., • Hands-on experience in any of hyper scaler (AWS/ Azure/ GCP) is needed., • Have a scope of learning new technologies on SAP Products (S/4HANA, HANA Database, MDG, SaaS Products (Ariba, Salesforce etc.) & Cloud (AWS, Azure OR GCP), • Will have access to all SAP internal training & learning materials to gain knowledge in latest technologies., • Will gain exposure to all latest build architectures in one single place/ position which will be valuable/ useful in future., • Will not be assigned/ dedicated to one single customer but will engage with Multiple customers in various Industries to gain knowledge about different SAP Landscape setups, Delivery processes & Challenges., • Will rotate in different internal SAP dCEM CoE (Migrations, Upgrade, Escalation, Go-Live etc.), • Technical Architecture, Landscape issues/ queries guidance to end customers., • Supports sales to delivery handover and customer onboarding to SAP Enterprise Cloud Services, • Contributes to onboarding/transitioning customers to SAP ENTERPRISE CLOUD SERVICES, • Orchestrates the overall service/project delivery according to planned scope, budget, and milestones, • Supports in de-escalations of critical customer situations, • Supports critical customer situations in conjunction with Major Incident Management (MIM), SAP Enterprise Cloud Services Customer Office teams and SAP Product Support, as applicable, • Contributes to customer release and maintenance activities, • Supports customers on technical requirements throughout their lifecycle within the SAP Enterprise, • Executes and supports problem management and continuous improvement, • Contributes to the liaison with different SAP stakeholders, esp. Virtual customer success partner involved in the accounts, to ensure customer success, • Supports in reviewing account status and analyzing if account needs to be transitioned to another team, based on growth in volume or complexity of the account overtime., • Systematic and faster onboarding of associates: mandatory trainings documentation, • Enable continuous delta KTs on new topics and refresher sessions. About HCLTech: We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey in advancing the technological world through innovation and creativity. Why Us? • We offer End-to-end digital transformation expertise that helps clients from strategy through execution. We work with the biggest brands, offering the opportunity to be a part of industry-leading work., • We are invested in your growth, offering learning and career development opportunities at every level to help you find your spark., • We offer freedom and flexibility on the job, empowering our employees to make decisions., • We offer a virtual-first work environment, promoting a good work-life balance and real flexibility Our company is extremely diverse with representation of 165 nationalities., • We offer the opportunity to work with colleagues across the globe., • We are a certified great place to work and a top employer in 25 countries including Romania, offering a positive work environment that values employee recognition and respect. If you have a valid disability certificate, Certificate of Disability in Force, please contact us. Among HCL's principles we would like to highlight diversity and inclusion as a strength in our values and practices. To achieve all our objectives, it intends to attract, develop, and retain different profiles, assuming diversity as a key factor and differentiator of fundamental innovation in our organization. We welcome and value all people, and we are committed to the inclusion and sense of belonging of each person who is part of HCL. • HCL is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.

Project Description: The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week. Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart. Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business. Responsibilities:We are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture. Skills Description: • Readiness to work until 8.00 pm CET (no need to do overtimes), • Overall years of experience required 8+, • Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years)., • Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval., • Hands-on experience with Power BI, including data modeling, report and dashboard development, and building interactive, business-ready visualizations based on enterprise data sources., • Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions., • Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses., • Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing., • Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault), • Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages., • Experience integrating metadata and governance processes into cloud-based data platforms, • Certification in Azure, Databricks, or other relevant technologies is an added advantage, • Experience with cloud-based analytical databases., • Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix., • Experience with Python and Python-based ETL tools., • Experience with shell scripting in Bash, Unix or windows shell is preferable. Nice-to-Have Skills: • Experience with Elasticsearch, • Familiarity with containerization and orchestration technologies (Docker, Kubernetes)., • Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis., • Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams. Languages: English: B2 Upper Intermediate