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T-Mobile Polska is hiring a GCP Data Engineer to design, build, and maintain data pipelines and warehouse solutions on Google Cloud (BigQuery, Dataflow/Beam, Cloud Composer), supporting analytics, ML, and AI use cases across the organization. Senior-level candidates additionally act as Tech Lead for a micro-team.
Lead a data engineering team serving a major U.S. consumer insights client, designing secure, compliant data structures and scalable pipelines using SQL, Python, AWS (Lambda, Airflow, Redshift) and Snowflake on 200B+ record volumes. Involves team leadership, data security/governance, and direct client communication.
Lead data engineer/DataOps specialist building and automating data products on a cloud platform built around Snowflake and AWS S3, with data sourced from SAP HANA views and pipelines orchestrated via custom GitLab CI/CD workflows. Acts as technical lead, setting engineering standards and driving DataOps best practices using Python, SQL, and Bash.
A senior Data Engineer (5+ yrs) designs and builds scalable ETL/ELT pipelines and cloud-based data platforms on AWS, working daily with Python, SQL, Spark/PySpark, big data and Data Warehouses/Lakes. The role mixes hands-on engineering with architecture, troubleshooting, stakeholder collaboration and mentoring.
Lead Data Engineer at software house Acaisoft, delivering data pipelines and datasets for a US BioPharma client. Day to day: build and operate ingestion/processing on Databricks Spark (Delta Lake, Unity Catalog) with Python and complex SQL, handle CDC from Oracle/PostgreSQL/MongoDB, and lead architecture while mentoring engineers to power AI/ML and GenAI use cases.
WM New Zealand is hiring a Data Platform Lead in East Tamaki, Auckland to own the vision and roadmap for its portfolio of data products while staying hands-on building transformations, metrics, and semantic models with dbt and Snowflake. The role blends analytics engineering with backlog management, delivery leadership, stakeholder coordination, and coaching engineers.
Waste Management in Auckland is hiring a Data Platform Lead to own the vision, roadmap, and backlog for its data products while staying hands-on building transformations and models with Snowflake and dbt. The role blends analytics engineering with product ownership, delivery leadership, and stakeholder management.
PySpark Data Engineer (5-10 yrs) at TCS who builds and tunes big-data ETL pipelines using Hive, Spark and SQL on a Cloudera stack, creates data-quality rules with an in-house framework, and supports dev/test teams — with Tech Lead tracks also owning offshore delivery and technical oversight. Openings in Chennai, Kolkata, Hyderabad and Pune.
Lead a team of 5-8 data engineers delivering enterprise-scale data solutions, staying hands-on with Python and Microsoft SQL Server development. The role spans ETL/ELT pipeline development, data quality frameworks, SQL performance tuning, and DevOps practices including Git and CI/CD.
Lead Data Engineer at JPMorgan Chase's Commercial & Investment Bank, building and maintaining scalable AWS-based data pipelines for scanned document image processing, OCR integration, and structured data extraction into Oracle and AWS stores, while mentoring a team of data engineers. Core stack: Java, Groovy, Python, AWS (S3, Lambda, EKS, Step Functions), Docker/Kubernetes, and Oracle.
Leads the design and delivery of an enterprise-grade data lakehouse at Intelmatix in Riyadh, supporting AI agents, knowledge graphs, and analytics. Day to day involves architecting secure Medallion-architecture platforms with data quality gates and mentoring client teams, using Spark, Delta Lake/Iceberg, Airflow, and cloud.
A 6+ month contract Data Engineering Lead role with a Brisbane client: owning the strategy, governance, modernization, and delivery of enterprise data platforms (Microsoft Fabric, Azure Synapse, Data Lake, Informatica, Power BI) while leading data engineering teams and L2/L3 support operations.
Leads design and delivery of scalable lakehouse data pipelines on Azure and Azure Databricks for international banking initiatives, mentoring a team of data engineers and owning end-to-end technical solutions. Core stack: Azure Databricks, Spark, Delta Lake, Python/PySpark, SQL, and CI/CD tooling.
Experienced data engineer at Avanade France (with Accenture) in Clermont-Ferrand, designing, building and optimizing data pipelines (ingestion, transformation, storage) in Python and SQL for a major industrial client's data & AI transformation. Stack spans Azure, Spark, Databricks, Kafka, Dataiku, Snowflake and Power BI.
Builds and leads a new Data Engineering function at a fast-growing AI/data-focused SaaS company in London: setting engineering standards, mentoring data engineers, owning cloud data platforms, and delivering scalable ETL/ELT pipelines. Core stack: SQL, Python, Azure/AWS/GCP, Git, CI/CD, plus productionising ML with data science teams.
Technical Lead for Data Engineering at Birlasoft, architecting and delivering large-scale enterprise data solutions. Day to day: leading end-to-end development in Python and Django, building data pipelines, adding GenAI-powered features, and owning REST/SOAP integrations, SOA design, and CI/CD with Git and Azure DevOps.
Leads a small team of Applied AI Engineers (~80% hands-on, ~20% leading) architecting the data quality layer for Firmable's B2B sales-intelligence platform: verification pipelines, LLM eval harnesses, anomaly detection, and release gates over billions of records. Core stack: Python, advanced SQL, LLM production tooling, Airflow, Snowflake/Databricks/Redshift on AWS.
Lead Data Engineer at Mastercard building and evolving large-scale backend data systems, real-time and batch pipelines, and AI-enabled services for analytics and automation at global scale. Core stack: Scala/Python/Java, CDP, Spark, and cloud-based architectures.
Lead/Senior Data Engineer at ABC Fitness who designs and optimizes data pipelines across CRM teams, builds scalable SQL workflows on MySQL and Redshift, and shapes lakehouse-style analytics with Apache Iceberg. Also mentors teammates and ensures reliability of the data platform while partnering with product squads.
Lead data engineer for GCash (the Philippines' leading fintech) who designs and builds scalable data pipelines feeding the data warehouse, ensures data quality, and optimizes ingestion for the tribe's data needs. Core stack: SQL, ETL, AWS Glue, Spark, Databricks, and Kafka.
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