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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.

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 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 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. Ensure coordination with partner organizations and accountability for third-party contributions. Required Qualifications 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 . Strong SQL and data modeling skills (Oracle preferred). 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?