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Senior Analytics Engineer on ZoomInfo's Enterprise Data Engineering team: design and own scalable analytics data models, trusted pipelines, and semantic layers (dbt, Snowflake, Airflow, Fivetran, Databricks, Tableau) to power reporting, BI, and data-driven decisions across the company.
Individual-contributor data engineer building and operating Glean's internal data platform for internal analytics teams: batch/API ingestion pipelines, BigQuery infrastructure, DBT transformations, data quality, governance, and observability. Hands-on role based in Bangalore (hybrid, 4 days/week in office), requiring SQL, Python, and cloud data warehouse expertise.
Senior Analytics Engineer at Rabot Energy (dynamic green electricity tariffs) in Berlin: owns the data modeling layer between raw data and decisions, building tested, documented dbt models on BigQuery, with CI/CD, cost control, and Metabase self-service for analysts and business teams.
Designs, builds, and operates hybrid cloud data platforms on Azure: Databricks/Unity Catalog lakehouse, Bronze/Silver/Gold data modeling, ETL/ELT pipelines with Azure Data Factory and dbt, PostgreSQL and Azure VM operations, plus CI/CD via Azure DevOps or GitHub Actions and data governance.
Data Engineer designing and maintaining scalable ETL/ELT pipelines and enterprise data architectures on Microsoft Fabric, partnering with Data Science, ML, and BI teams to deliver reliable data infrastructure.
Data Engineer at DXC Technology (Warsaw area offices) building and maintaining a Snowflake data warehouse for a major Swiss transportation client — hands-on ELT/dimensional modelling with SQL, dbt, Python and Git-based CI/CD on Kubernetes/OpenShift. Requires 3–5 years' data engineering experience and German at B2 or higher.
DXC Technology seeks a Data Engineer with fluent German (B2+) for a project serving a major Swiss transportation client, based from its Polish offices (Warsaw, Krakow, Wroclaw, Gdansk). Day to day: building data warehouse pipelines and models with Snowflake, dbt, SQL and Python, using Git-based CI/CD on Kubernetes/OpenShift.
Senior Data Engineer at ETFBOOK, a Swiss SaaS provider of ETF data and analytics: build and maintain secure data pipelines on Azure Databricks, define the data model and engineering standards, and mentor engineers delivering trusted datasets to institutional clients. Fully remote in the European time zone with one office day per month in Cracow, on a B2B contract.
Senior BI Data Engineer at Lusha in Tel Aviv (hybrid, 3 days/week in office) who owns analytics foundations end to end — designing data models, pipelines, and the semantic/BI layer that power Product, GTM, and Finance decisions. Core stack: Snowflake/Databricks, dbt, SQL/Python, Airflow, with hands-on GenAI use in daily workflows required.
Kyndryl is hiring a Data Engineer for its Applications, Data & AI practice to design, build, and operate scalable ETL/ELT pipelines and cloud-native data platforms on Google Cloud (BigQuery, Dataflow, Composer), supporting analytics, reporting, and AI use cases for enterprise clients. Partially remote across several Spanish cities.
Data Engineer who designs, builds, and maintains data pipelines and data models on Databricks and dbt for the bank's data platform — ingesting new sources, optimizing performance and cost, and ensuring data quality and compliance. Core stack: Databricks, dbt, SQL, ETL/ELT, and Microsoft Azure.
Cloud data engineer on SEB's Data, Analytics and Reporting team, building and operating a GCP data platform: designing data pipelines, provisioning infrastructure with Terraform, maintaining CI/CD, monitoring, and production troubleshooting, plus automating manual work and developing AI use cases. Core stack: Python, SQL, BigQuery, Composer/Airflow, Cloud Run, Pub/Sub, Terraform.
Establish and operationalize Finance Data Governance at Sony Interactive Entertainment—define governance standards, document data lineage, build business glossaries, establish data quality controls, and govern master data/hierarchies using SAP S/4HANA, Snowflake, and catalog platforms like Atlan or Collibra.
Data Analyst at nonprofit One More Child who turns organizational data into insights for fundraising, finance, and program operations. Day to day: building Power BI dashboards, maintaining Microsoft Fabric pipelines and semantic models, and doing trend analysis, forecasting, and predictive modeling using SQL, Spark, and Python.
Senior Data Engineer at an Australian Microsoft Data & AI consultancy, designing and building modern data platforms on Microsoft Fabric (Lakehouse, OneLake, Data Factory, Notebooks) for multiple clients. Core stack: Python, SQL/Spark, Azure DevOps/GitHub CI/CD, Power BI, with Databricks and Purview as pluses.
Senior Data Engineer at Agile Insights, an Australian Microsoft Data & AI consulting firm, designing and building modern data platforms on Microsoft Fabric across multiple client projects. Core stack: Fabric Lakehouse/OneLake and Data Factory, Python, SQL/Spark, Azure DevOps/GitHub CI/CD, and Power BI.
Design, build, and maintain scalable batch and near real-time data pipelines and curated datasets on AWS for enterprise analytics, using SQL, Python/PySpark, AWS services (S3, Glue, Redshift, Athena, EMR), dbt, and Airflow. Role is based in Sydney and placed by Zone IT Solutions, an IT staffing/expertise-sourcing firm.
Lead Lusha's BI & Data Engineering team (4-6 engineers) while staying ~30% hands-on, owning the BI platform end-to-end — from raw data to semantic layers and governed metrics used across Product, GTM, and Finance. Core stack includes modern data warehouses (Databricks/Snowflake), SQL, Python, and heavy use of GenAI/agentic tooling in the workflow.
Software Engineer, Global Advertising Data Platform Location: Employment Type: Regular Job Code: A12781A Team IntroductionThe Global Advertising Data Platform team builds the data foundation and products behind…
Experienced ETL tester at Matrix, a large global IT services and consulting firm, validating data extraction, transformation, and loading pipelines to ensure data accuracy and quality for reporting and analytics. Day-to-day is heavy on advanced SQL, source-to-target reconciliation, and tools like SSIS/Informatica, Snowflake/Redshift, and Power BI, on-site in Jacksonville, FL.
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