Tech jobs
Job listings
Azure Data Platform Engineer — Lakehouse & ETL Lead
Programmers.io is hiring an onsite Azure Data Platform Engineer in Redmond to design scalable enterprise data platforms and ETL/ELT pipelines, and to lead Lakehouse architecture using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold medallion layers.
Azure Data Platform Engineer – Hybrid (Redmond)
Hands-on data + services technical lead role at Programmers.io owning enterprise Azure data solutions: designing scalable data platforms and ETL/ELT pipelines and leading Lakehouse/Medallion architecture decisions using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold layers. Hybrid role based in Redmond.
Data Platform Engineer with Azure
Designs and builds scalable Azure data platforms: hands-on ETL/ELT pipelines, data warehousing/modeling, and Lakehouse/Medallion architectures using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold layers. Full-time onsite role in Redmond, WA.
Data Platform Engineer//Azure Data Engineer
Senior (8+ yrs) Data Platform/Azure Data Engineer in Redmond, WA on a hybrid schedule (3 days onsite), designing and building scalable Azure data platforms, ETL/ELT pipelines, and Lakehouse/Medallion architectures using ADLS Gen2 and Delta Lake.
Python Data Engineer Cloud
12-month contract (W2/C2C, $80-85/hr) Cloud Data Engineer placed by staffing firm Brains Workgroup at a major bank in Central NJ; hybrid with 1-2 days per week on-site in Iselin. Day-to-day is building and optimizing Python/SQL ETL pipelines with Spark in Databricks on Azure, covering Delta Lake, data modeling, and streaming data.
Consultant Data Engineer Databricks (H/F)
On-site Lyon data engineer consultant placed at a client's IT department to design, build, and optimize scalable Databricks pipelines, automate ingestion with Spark and Delta Lake, and maintain data lake/warehouse architectures. Requires 3+ years of data engineering experience; salary €42k–48k.
Databricks Data Engineer: Build Scalable Pipelines (Lyon)
On-site Data Engineer role at consulting firm ALTEN in Lyon: design and optimize Databricks data pipelines, automate ingestion and storage with Spark and Delta Lake, and collaborate with Data Science teams. Requires 3+ years with Databricks/Big Data ecosystems and a Bac+5 in CS or Data Science.
Data Engineer
Data Engineer at STARK Building Materials UK, building and maintaining data pipelines and curated data products on a Databricks lakehouse while migrating legacy Informatica and Azure Synapse solutions. Day to day: Python/SQL transformations, data quality controls, testing and support for reporting, self-service analytics and future AI.
Data Engineer
Data Engineer at STARK UK (building materials distributor) building and migrating data pipelines onto a modern Databricks Lakehouse platform, moving away from Informatica and Azure Synapse. Day-to-day: designing Bronze-to-Gold data products with Python, SQL and Azure, plus data quality, testing, CI/CD and production support.
Senior Data Engineer — Cloud, Spark & Lakehouse Leader
Senior Data Engineer (6-10 yrs) at a global IT services firm in Singapore, leading production data pipelines on AWS and Databricks. Designs lakehouse architectures and builds CDC, data-quality, and batch/streaming workflows using PySpark, SQL, Python, and Delta Lake.
Senior Data Engineer (AWS & Databricks) | Contract
Contract role for a Senior Data Engineer to design, build and maintain batch and streaming data pipelines on AWS and Databricks, including lakehouse layers with Spark/PySpark, Delta Lake, data quality, CI/CD and governance for a Singapore public-sector agency, while mentoring junior engineers.
Senior Data Engineer - AWS & Databricks Lakehouse
Design, build, and maintain scalable batch and streaming data pipelines on AWS and Databricks, contributing to Delta Lake/Spark lakehouse architectures with a focus on data quality and governance. Core stack is Python, SQL, Spark, Terraform, and CI/CD, working alongside data scientists and stakeholders.
Senior Data Engineer: Build AWS/Databricks Pipelines
Senior Data Engineer at Epergne Solutions in Singapore designing, building, and maintaining scalable data pipelines and lakehouse platforms using AWS, Databricks, PySpark, and Delta Lake. Day-to-day work covers ingestion, transformation, governance, performance optimization, and mentoring teammates.
Senior Data Engineer
Senior Data Engineer designing, building and maintaining scalable batch and streaming data pipelines and lakehouse platforms on AWS and Databricks using Python, PySpark and SQL, with focus on data quality, governance, security, cost/performance tuning and mentoring teammates.
Senior Data Engineer
Senior Data Engineer on the DSAD Platform and Architecture team, designing, building, productionising and operating trusted data pipelines and reusable data products on AWS and Databricks. Day-to-day work spans PySpark/SQL transformations, lakehouse architecture, ingestion/CDC patterns, data quality and Terraform CI/CD. Onsite at Paya Lebar, Singapore; typically 6–10 years' experience.
Data Engineer
Data Engineer at Avensys Consulting, a Singapore-based IT professional services firm, to design, build and operate production-scale data pipelines and lakehouse architectures using Python, PySpark, SQL, Databricks/Spark/Delta Lake and AWS data services, with technical leadership, data governance and mentoring responsibilities.
Data Engineer
Build and maintain data pipelines and data products on a modern Databricks platform (PySpark, Delta Lake, Unity Catalog, Azure) supporting reporting, analytics and AI solutions. Hybrid role (70/30) in Katowice for Vaillant Group's shared services IT team.
Sr Lead Software Engineer - Python, Pyspark, Java
Hands-on senior engineering lead at JPMorganChase's CIB Payments Technology – Regulatory Reporting team in Singapore, owning end-to-end delivery of regulatory reporting systems: building data pipelines on Databricks (Delta Lake, Spark SQL, PySpark), writing production Python/Java, and driving AI-assisted engineering practices on AWS.