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Data Engineer - Databricks
Builds and maintains data pipelines and lakehouse solutions on Databricks (Delta Lake, Unity Catalog, Lakeflow) using Python, PySpark and SQL, including migrating legacy Hadoop/Spark warehouses to Databricks, integrating with AWS services, and automating deployments via CI/CD tooling.
Data Engineering Lv.4
Data engineer at Coupang building and managing high-volume ETL/ELT pipelines, data quality/observability, and reporting dashboards, plus leveraging LLMs to automate analytics workflows. Core stack: SQL, Python, orchestration tools (Airflow/Dagster/dbt), and BI tools like PowerBI/Tableau; hybrid work in Bengaluru.
Data Engineer: ELT, SQL & BI for Finance (Zurich Hybrid)
Data/Analytics Engineer for Crypto Finance Group in Zurich (hybrid): designs and maintains Python ELT pipelines, builds scalable data models for finance and operations, and delivers Looker/Looker Studio dashboards for stakeholders on a blockchain/fintech data platform. English required; German a plus.
Data Engineer Lab Digitalisation (50-80%)
Part-time (50–80%) data engineer at FHNW's School of Life Sciences to digitalise a biotech lab: design a central data platform, connect instruments, LIMS/ELN and databases via standards like OPC UA, and run automated ETL pipelines enabling analytics and machine learning. Core stack: Python, SQL, Docker.
Data Engineer
Data Engineer in Zurich building the data ecosystem behind Finance and Operational reporting at Crypto Finance Group (part of Deutsche Börse): designing Python ELT pipelines into BigQuery, crafting complex SQL data models, orchestrating with Dagster and transforming with SQLMesh, and powering Looker dashboards.
Specialist Solution Engineer, Data & Analytics
Pre-sales Solution Engineer acting as the Tableau subject-matter expert across ANZ: partnering with Account Executives on discovery, storytelling demos, workshops and RFP responses to win analytics deals. Core stack is Tableau Cloud/Server/Next, CRM Analytics, Data 360, Agentforce and generative AI (LLMs, RAG, MCP).
Senior Data Engineer
Senior Data Engineer designing and owning scalable data pipelines and infrastructure on GCP and Snowflake that power digital/media reporting and product analytics (e.g. Amplitude) for tier-one clients, using Matillion, Rudderstack, SQL and Python, with data governance, CI/CD and mentoring duties.
Data QA engineer
Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180…
Machine Learning Engineer AI/ML, GCP & MLOps
Role & responsibilities Machine Learning Engineer AI/ML, GCP & MLOps Design, train, validate, and deploy machine learning models for data-quality anomaly detection, attribution, and signal generation. Develop and…
Data Engineer
Industry - Steel Manufacturing Designation - Data Engineer Location - Kolkata, west Bengal Salary - Upto 10 lpa Role Overview We are looking for an experienced Data Engineer with 45 years of hands-on experience in…
Associate Architect - Databricks
JOB PURPOSE Looking for an experienced Data & Cloud Architect to define and drive enterprise-scale data architecture leveraging Databricks Lakehouse, Snowflake, Apache Iceberg, and modern cloud-native technologies. The…
Pessoa engenheira de dados sênior
Senior data engineer who owns and evolves the corporate Power BI Service environment — workspaces, permissions/RLS, gateways, semantic models and Premium/Fabric capacity — while building ETL pipelines, CI/CD for reports and handling N2/N3 incidents. Core stack: Power BI, SQL Server, DAX, Power Query, Python, Azure, Databricks.
Python Developer
B2B Python Developer building backend services and APIs (FastAPI), plus ETL/ELT data processing, automation tooling and BI integrations. Hybrid setup with 1-2 days per week at the client's Warsaw office. Core stack: Python, FastAPI, SQL, Git with basic CI/CD.
Remote Azure Data Engineer: Etl, Spark & Data Lake
Data engineer designing, building and operating ETL/ELT pipelines on Azure using Data Factory, Databricks, Spark/PySpark and SQL, managing data in Blob Storage and Data Lake Gen2 with CI/CD, governance and on-call duties. Can be 100% remote within Argentina; requires 3+ years of data engineering experience.
Machine Learning Engineer
ML Engineer at Hero FinCorp, an NBFC lender, working on-site in Gurugram: owns end-to-end ML pipelines and the production inference stack for credit risk, underwriting and collections models — serving, versioning, drift monitoring and feature stores — using Python, SQL, Spark, Airflow, Docker/MLflow and cloud platforms.
Gcp Data Engineer
Data engineer in Chennai designing and maintaining scalable data pipelines on GCP — building ETL/ELT workflows with BigQuery, Dataflow/Dataproc, Python/PySpark and SQL, orchestrating with Airflow/Cloud Composer, and automating infrastructure with Terraform.
Consultant(e) Data Engineer - Databricks (H/F/NB)
Data engineering consultant at Trimane, a French data & AI consulting firm, leading data migration projects for clients. Day to day: building and optimizing ELT pipelines, data models, and data-quality controls on Databricks and cloud platforms (Azure, AWS, GCP, Snowflake) with Python, SQL, and Spark.
Senior Project Manager, Scrum Master
Senior Project Manager / Scrum Master leading end-to-end delivery of enterprise data platform, analytics, and BI initiatives within the US. Combines Agile facilitation (ceremonies, backlogs, sprint tracking) with project governance, QA/release readiness, and stakeholder communication across data engineering teams using Jira, Confluence, Power BI, and cloud data stacks.