Offres cleaning services à MálagaCréer des alertes d'emploi

Yapily is on a mission to enable innovative companies to create better and fairer financial services for everyone, through the power of open banking. Yapily is an open banking infrastructure platform solving a fundamental problem in financial services today: access. Historically, card networks have monopolised the global movement of money, and banks have monopolised the ownership of, and access to, financial data. Yapily was founded to challenge these structures and create a global open economy that works for everyone. We exist behind the scenes, securely connecting companies – from growth to enterprise – to thousands of banks worldwide, enabling them to access data and initiate payments through the power of open banking. As a Java Software Engineer specializing in Data Products at Yapily, you will play a key role in designing and implementing our modern next generation data platform. Your responsibilities will involve creating high-performance data pipelines, billing infrastructure, and self‑serve data infrastructure and APIs. Ultimately, you will develop data systems that enable engineering teams to derive more value from their data. This is an excellent opportunity to enhance your data engineering skills using the GCP stack. • Developing and Optimising Data Pipelines: Designing, building, and maintaining scalable data ingestion and processing systems to transform raw data into actionable insights., • Designing and Maintaining Data Products: Developing and maintaining APIs that deliver a seamless data experience for internal and external stakeholders., • Managing Databases: Working with SQL and NoSQL databases, optimising schema design, and troubleshooting queries to support high‑volume data transactions and improve database performance., • Managing Cloud Data Resources: Develop and maintain software products utilising GCP services such as PubSub, BigQuery, Cloud Storage, and Dataflow., • Contributing to Billing Infrastructure: Building and maintaining a reliable billing architecture within an event‑driven environment., • Collaborating on Problem‑Solving: Partnering with Business Intelligence, infrastructure, product managers, and cross‑functional teams to deliver data‑centric solutions that drive business value., • Ensuring Quality Assurance: Implementing testing, monitoring, and logging practices to ensure the performance and resilience of data systems., • Driving Continuous Improvement: Participating in code reviews, iterative development, and agile methodologies to enhance product functionality and reliability., • Java Development: 3–5 years of hands‑on experience in Java development, particularly in data‑intensive environments and building data products., • Database Management: Background in managing both SQL and NoSQL databases., • Version Control & CI/CD: Knowledge of version control (Git) and CI/CD practices for data pipeline deployment and Exposure to tools such as Terraform., • Data Modelling & Schema Design: Familiarity with data modelling and schema design for operational or analytical systems., • API & Micro services Architecture: Comfortable working with REST APIs and micro services architectures., • Real‑time Stream Processing: Understanding of real‑time stream processing frameworks (e.g., PubSub, Kafka, Flink, Spark Streaming)., • BI Tools & Visualisation Platforms: Experience supporting BI tools or visualization platforms (e.g. Looker, Grafana, PowerBI etc.)., • Data Pipelines & APIs: Experience in building and maintaining both batch and streaming data pipelines and APIs., • ETL/ELT Processes: Exposure to ETL/ELT processes in medium‑to‑large scale data environments (experience handling millions of records/events daily is a plus)., • Python: Knowledge for data automation and scripting., • Containerization: Familiarity with tools like Docker and Kubernetes., • Workflow/Orchestration Tools: Familiarity with workflow/orchestration tools (e.g., Airflow, Dagster, Prefect)., • Cloud-based Data Services: Exposure to cloud‑based data services (GCP preferred; AWS/Azure also considered)., • Data Lineage & Metadata Management: Understanding of best practices., • Data Governance & Compliance: Awareness of data governance and compliance principles (GDPR, ISO27001)., • SaaS / API‑driven Environments: Background in SaaS / API‑driven environments, ideally with experience in billing or usage‑based data., • Data Pipeline Monitoring & Troubleshooting: Basic skills in monitoring and troubleshooting data pipelines., • Data Security: Understanding of data security best practices and encryption for sensitive data., • Experience ensuring data quality through validation, cleaning, and monitoring., • You love innovation – it’s wired into your DNA., • You have exceptionally high integrity. You’ll treat all interactions with the confidentiality, sensitivity and diplomacy they deserve., • You think outside of the box and are pragmatic. You will bring in and iterate on the experience, skills and knowledge of best practice that you have seen elsewhere. You are always looking for better and cost effective ways to do things., • You are driven and curious. You ask questions and you strive to understand., • You enjoy solving problems. You don’t get flustered easily. You’re comfortable managing your time and can be counted on to skilfully handle issues., • You understand the importance of attention to detail and ensuring quality outputs. Everything you produce is of high quality., • You have a can‑do approach. You think on your feet. Switching up tasks and juggling multiple priorities comes naturally to you., • 23 days holiday a year (plus bank holidays) in Spain, • We also offer an additional holiday day after 1 year service, up to the value of 5 days over 5 years, • We’re serious about work/life balance and operate hybrid working, giving you the flexibility to work from home, working from our amazing office space or work abroad for up to 30 days per year ‘Nomad Working’, • Mental health support through an award winning provider, • €200 annual Learning and Personal Development budget, • Employee Referral Scheme which offers €1,000 per employee referral, • State health insurance, • Parental leave, • Unemployment insurance https://www.yapily.com/company/about-us • Our customers have entrusted us with a critical function in a regulated industry…and we take that responsibility seriously. We always assume ownership and hold ourselves accountable., • We are curious. Our innovation is powered by our collective growth mindset. We’re lifelong learners who challenge assumptions, experiment, and iterate., • We act with integrity. We’re guided by our mission and earn and maintain trust by doing what’s right, even when it’s not easy. We reject indifference and agility is our strength. We’re motivated by challenges, and biased towards action., • We problem‑solve together. We’re diverse people in diverse places, and know the best solutions are born out of collaboration. We win, lose, and learn…together., • Mid‑Senior level, • Full‑time, • Banking Referrals increase your chances of interviewing at Yapily by 2x #J-18808-Ljbffr

At Mercedes-Benz Group Services Madrid, we are looking for a Senior Data Engineer to join our Data Driven Pricing project within the Aftersales area. The selected person will design, build and maintain scalable data processing pipelines, working closely with Data Scientists to ensure data integration, data quality and support advanced analytics. 🧩 Your main responsibilities • Implement and manage cloud data storage systems in AWS., • Collaborate with Data Scientists and analysts to understand data requirements and provide suitable technical solutions., • Develop and use data quality frameworks to ensure data integrity and security., • Automate data ingestion, cleaning and transformation processes., • Monitor the performance of data systems and troubleshoot issues when needed., • Optimize performance and scalability of Big Data solutions., • Apply strong critical thinking and problem-solving skills in daily work. 🛠️ What we are looking for • Bachelor’s or Master’s degree in Computer Science, Information Technology or a related field., • 3–5 years of experience in Data Engineering or similar technical roles., • Strong knowledge of Big Data processing, especially Spark and Python, Java or Scala., • Strong SQL skills, including joins, group by, subqueries and temporary tables., • Experience with AWS (preferred) or other major cloud platforms such as Azure or Google Cloud., • Familiarity with data orchestration tools such as AWS Step Functions, Azure Data Factory, Airflow or similar., • Hands-on experience with DevOps tools such as Git Actions, Azure DevOps or Jenkins., • Knowledge of version control platforms such as Git or Bitbucket. ⭐ Nice to have • Knowledge of visualization tools such as Power BI or Grafana., • Experience with Docker and Kubernetes., • Understanding of Agile methodologies., • Cloud or Big Data certifications., • Previous experience in an international work environment. 🌍 Languages • Fluent English (reading, writing and conversation). 🎁 What we offer • 30 working days of vacation., • Flexible working hours., • Hybrid work model., • Work in an international and dynamic environment within Mercedes-Benz Group.