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Ground Control is hiring a Lead Data Engineer to set technical direction, solve complex data challenges, and build a scalable, reliable data platform while helping others grow. Permanent, full-time (40 hrs/week, Mon-Fri), hybrid/remote within the UK, anchored to their Little Burstead, Billericay location.
Мы передовое ИТ подразделение, создающее дата платформу на сотни петобайт данных для крупшейнего юнита банка. Нами реализована загрузка, обработка и контроль качетсва разрозненных данных из сотен систем-истоников банка…
Iv seeks a data engineer who turns vibration, sound, and deformation measurement data from rail and civil-infrastructure projects into clear dashboards, reports, and automated analyses using Python and Power BI, flagging deviations and presenting results to clients and colleagues; entry-level candidates get room to grow.
At engineering firm Iv in Sliedrecht, you turn vibration, noise, and deformation monitoring data from rail and civil infrastructure projects into reliable analyses, reports, and dashboards, working daily with Python, Power BI, and various data sources to support client decisions.
Data Engineer (3-4 yrs experience) designing, building and optimizing data pipelines and Data Lakehouse architectures on Databricks — data ingestion, transformation and delivery using Python and Spark, plus backend/API components, CI/CD automation and integration with cloud services (preferably Azure). Hybrid role based in Modena, Italy; requires native Italian and fluent English.
Junior Data Engineer joining Generali Italia's Data Platform Governance team in Milan, building components, frameworks and ingestion/transformation pipelines for a cloud-native multi-cloud data platform on AWS and GCP, used by dozens of teams. Core stack: Python or Java, SQL, Docker, Terraform, Spark, CI/CD. Hybrid: 3 days onsite, 2 remote.
Lead the Data Quality Framework and Governance for banking operations in Doha. You will define DQ rules, monitor Critical Data Elements (CDEs), manage data issues, and ensure regulatory compliance using tools like Informatica, Collibra, or Microsoft Purview.
Izertis is hiring a Senior Data Engineer / Tech Lead to lead a data engineering team for a major travel & hospitality client, working hybrid from Madrid. Day to day: managing the ingestion/transformation backlog, designing GCP data pipeline architectures, enforcing quality and governance standards, and mentoring engineers. Core stack is GCP data services plus NiFi, Spark, Airflow, dbt and Looker.
KEAPPS is hiring a Solution Architect / Senior Data Engineer to work 100% remotely (Spain) on evolving a data platform into a modern Data Lakehouse. Day to day: designing distributed pipelines with Apache Spark, complex orchestration with Apache Airflow, and ACID table formats with Apache Iceberg, while leading technical teams and acting as the main technical link with clients.
A senior data engineer / solution architect who designs and evolves a data platform toward a modern Data Lakehouse architecture, building distributed processing pipelines with Apache Spark, complex orchestration with Apache Airflow, and ACID table formats with Apache Iceberg, while leading technical teams and acting as the main technical link with clients. 100% remote.
Data/ML engineer designing, building and deploying modern data architectures (ingestion, transformation, orchestration, Data Lakes/Lakehouses) and AI/ML solutions on Google Cloud for a stable industrial Innovation Department project, including MLOps model deployment. Fully remote with occasional visits to Valladolid; salary 40–43k€ gross/year.
A hybrid (2 days/week in-office, Madrid) data engineer role focused on designing, building, and optimizing data flows in Snowflake and IDMC, including migrating data from Teradata to Snowflake, creating ETL/ELT pipelines, data models, stored procedures, and implementing governance and performance tuning. Requires 5+ years' experience and advanced English.
Data Engineer at Capitole Consulting joining a stable client data-platform transformation project: analyzing existing SSIS processes, designing and maintaining ETL/ELT flows, and migrating them to Azure Data Factory, working closely with technical and business teams. 100% remote from Spain with occasional visits to the Madrid office.
Data Engineer at IT services firm PSS to build, evolve, and maintain data platforms and pipelines for an international financial-sector project with large data volumes and complex business rules. Core stack: Scala, Apache Spark, Airflow, ETL/ELT, CI/CD; hybrid in Madrid, with professional English and French required.
Fully remote Data Engineer (based in Zaragoza, Spain) who builds and maintains ETL/ELT pipelines, integrates databases, APIs and external sources, optimizes data flows, and evolves data warehouse/lake infrastructure using Python, advanced SQL, Git, and a cloud platform (Azure, AWS, or GCP).
Data Engineer at gibobs (a fintech helping people access financing) who builds and evolves scalable databases, designs data architectures, and maintains pipelines into the company's Data Lake while ensuring data quality, governance, and security. Core stack is SQL, TypeScript, and QuickSight (BI), with Python and AWS valued.
Senior Data Engineer developing industrial AI solutions and data pipelines using Cognite Data Fusion. The role involves building custom extractors with Python and Spark, designing data models, and collaborating with heavy industry clients to implement digital twins and AI agents.
Role purpose The Data Platform Engineer Manager is responsible for designing, building, operating, and continuously improving enterprise‑scale , Databricks based data mesh platform at Syngenta. This role focuses on…
WPP is hiring a Senior Data Engineer in India (hybrid, ~4 days/week in office) to design, build, and optimize a scalable data lakehouse on Google BigQuery and/or Databricks. Day to day, they build ETL/ELT pipelines (e.g., GA4 ingestion) with SQL, Python, and PySpark, implement medallion architecture, orchestrate workflows with Airflow/Databricks, and handle governance and performance tuning across
The Data Governance Manager ensures data is trusted, well-managed, and used responsibly to support data-informed decision-making. The role involves implementing governance frameworks to maximize the organization's impact on dementia care.
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