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Junior data engineer on the John Deere Financial data platform team in Indaiatuba, Brazil (hybrid). Day to day: building data models, ETL pipelines, and basic REST APIs that support analytics like automatic loan approvals, using Python, Java/Spring Boot, SQL/NoSQL, Spark/Databricks, and AWS, in an Agile team.
Leads IGT's enterprise-wide data governance program from Las Vegas (hybrid), setting policies, standards, data quality metrics, and master data management 'golden records' in partnership with IT, Legal, and Compliance. Core tooling includes governance platforms (Collibra, Alation, Informatica, Atlan), cloud data platforms (Azure/AWS/GCP), and Databricks/Snowflake.
At Enexis, a Dutch electricity grid operator, the SCADA data engineer configures, implements, optimises and maintains data in the SCADA system, tests new station and distribution automation, fixes data-related faults and advises on SCADA matters — supporting 24/7 monitoring of medium-voltage grids for the energy transition. Office-based in Weert; needs an HBO degree in electrical engineering/ICT,
Nestlé is hiring a Data Engineer Specialist focused on Data Quality at its São Paulo HQ (telework). The person defines Data Quality standards, automated controls, metrics and monitoring across data product lifecycles, using Databricks/Snowflake, SQL, Python, DBT, Great Expectations, DataOps and data governance practices.
Onsite role at Nestlé's São Paulo HQ leading Brazil's data governance strategy: driving data quality metrics, metadata/catalog/lineage management, defining data owners and stewards, tracking governance KPIs, and developing the governance team, using modern data platforms such as Databricks, Snowflake, and Azure.
Coordinator-level data engineer at Nestlé (São Paulo, remote) who designs and evolves data and AI solutions day to day: building scalable Snowflake/Databricks pipelines, RAG and agentic LLM integrations, and handling LLMOps, data governance, cost optimization and technical mentoring.
Data Engineer at Danfoss (Oragadam, India) who designs and maintains scalable SQL databases, ETL pipelines, and data workflows, builds Power BI dashboards and data models, and drives automation to support business intelligence and analytics. Core stack: SQL, ETL, Power BI, Python.
Danfoss Climate Solutions is hiring a Senior Data Engineer in Hamburg to build scalable data pipelines and data platform infrastructure that power energy-efficient heating and cooling solutions. The stack includes SQL, Python, Airflow/Dagster-style orchestration, Kafka/Flink stream processing, Docker/Kubernetes, cloud platforms, and time-series databases.
Senior Data Engineer at Danfoss Climate Solutions in Sofia, building and governing a scalable Databricks platform (Unity Catalog, data models, ETL pipelines) and enhancing Genie/Generative AI capabilities that power sales forecasting, pipeline visibility, and customer insights for global sales teams.
A data engineer at Lear's Rabat Technopolis R&D center who designs, builds, and maintains data pipelines and scalable datasets from enterprise systems using Python, SQL, and Spark, while ensuring data quality, security, and observability to support analytics and business decision-making.
Acolad is hiring a Data Engineer in Lisbon to design, build, and maintain scalable ETL/ELT pipelines and cloud data infrastructure that power analytics, reporting, and data-driven decision-making. The stack centers on SQL, Python/Scala, orchestration tools like Airflow and dbt, and cloud data platforms such as Redshift, BigQuery, or Snowflake.
Lead Data Engineer at Air Arabia in Pune who owns the organization's data engineering roadmap, platform, and pipelines supporting analytics, data science, and AI. The role is hands-on with SQL, Python, Spark, cloud platforms (AWS/GCP/Azure), orchestration tools like Airflow and dbt, and streaming tech like Kafka, while also leading and mentoring a team of data engineers.
An experienced data engineer (6-8 years) in Chennai who designs, builds, and optimizes scalable data pipelines and lakehouse (medallion) solutions using Azure Databricks, Microsoft Fabric, PySpark, and SQL, including data quality, governance, CI/CD, and production support.
Senior Manager-level Principal Data Engineer in KPMG UK's Audit technology team (Clara Technology & Solutions): shapes technical direction for enterprise data engineering, builds Databricks-on-Azure pipelines with PySpark, SQL and Python, and leads and coaches a team of data engineers.
Data Engineer at RVO, a Dutch government agency, building a new Data & Analytics platform: developing data pipelines, datasets and reports for climate and energy projects. Works in an agile team with SAS, SQL/Oracle databases, Microsoft Azure and ESRI GIS tooling; hybrid role with 1–2 office days per week in Assen.
Senior Data Engineer on the Royal Netherlands Air Force HR Analytics team in Breda, building and maintaining data infrastructure and dashboards that support data-driven HR analyses and predictive capabilities. Core work involves SQL, data warehousing, data architecture, and tools like PowerBI, GitHub and JIRA in a hybrid (~50/50) setup.
Data Engineer on BESTSELLER's Ecommerce/Product Experience Team in Aarhus or Amsterdam, building and deploying data pipelines, APIs and data products in a cloud-native environment while migrating from legacy systems to a modern data mesh. Core stack includes SQL, Python, cloud platforms (AWS/GCP/Azure), Kafka, Snowflake, dbt and Airflow.
Senior IT Analyst on Nordea's DRT Data Engineering team, focused on consolidating, harmonizing, storing, and distributing payments data and supporting end-to-end payment flow integrations. Day to day: eliciting requirements from stakeholders, data mapping/modeling, SQL analysis (Snowflake/MSSQL), and pipeline design within a SAFe agile setup using Jira and Confluence.
Nordea is hiring a full-time Solution Architect with data engineering experience in its Customer Engagement Domain (Corporate Technology), based in Finland or Poland with a hybrid model. The architect shapes data and solution architecture across teams, using tools like Snowflake, DBT, Airflow, and PowerBI/Qlikview while supporting architecture governance and AI adoption.
Junior Data Engineer in the University of Sheffield's Data Connect team (School of Medicine and Population Health), building secure, reproducible data pipelines and cleaning/structuring complex health and social care datasets into research assets, including mapping to the OMOP Common Data Model. Core stack: SQL and Python, with AWS/Azure and Git desirable.
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