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Senior data architect (10-12 yrs) who designs scalable, secure multi-cloud data architectures across AWS, Azure, and GCP, supports pre-sales via demos, PoCs, and RFP/RFI responses, and mentors junior architects. Core tech: BigQuery, Synapse, Redshift, Databricks, Python, ETL/ELT, data governance, MDM.
Senior Azure Data Engineer in Chennai (5 days onsite, rotational UK/US shifts) building and maintaining scalable data pipelines on Azure. Day to day: ETL/ELT with Azure Data Factory, transformations with PySpark, Microsoft Fabric workloads, Medallion architecture, and CI/CD for data workflows. 7–10 years experience; max CTC ₹20 LPA.
TCS Data & Analytics is hiring a Data Engineer (5-8 years) to build, deploy, monitor, and optimize batch and streaming ETL pipelines on GCP using Scala, Spark, Airflow, BigQuery, Kafka, and Dataproc, including Medallion architecture, observability, and performance tuning. Pan-India work location.
Senior Data Engineer at DataWeave writes scalable Python crawler bots (with reverse engineering) and builds big-data pipelines to aggregate and analyze billions of public web data points, delivering competitive retail intelligence to customers via robust APIs and reliable, high-quality data infrastructure.
Statfinity is hiring a Senior Data Engineer (full-time, remote, anywhere in India) to build scalable batch and streaming data pipelines. The core stack is SQL, Python, GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Composer/Airflow), dbt/Dataform, and modern data platforms like Snowflake and Databricks.
GCP Data Engineer (6+ years) in Hyderabad who designs, builds, and optimizes end-to-end data pipelines on Google Cloud Platform using Python and Apache Beam. Core work involves complex SQL, BigQuery/Dataflow workflows, ETL/ELT, and collaborating with data scientists, analysts, and DevOps.
Tata Consultancy Services is hiring a Kafka Data Engineer in Pune to design and maintain scalable AWS data pipelines, build real-time streaming solutions with Apache Kafka, and develop/optimize large-scale ETL/ELT pipelines. The role targets candidates with 6–15 years of experience and includes monitoring, troubleshooting, and collaborating with cloud and analytics teams.
Senior Data Engineer who designs, builds, and optimizes cloud data platforms on Microsoft Fabric and Azure. Day to day involves building Fabric Lakehouse, Data Warehouse, Data Factory, and Real-Time Intelligence solutions, writing PySpark/Spark and T-SQL pipelines, managing ADLS Gen2 storage, implementing CI/CD via Azure DevOps, and supporting Power BI.
Hybrid Data Engineer role based in Hyderabad, India on a long-term engagement. The work centers on SQL data querying and Python programming, with hands-on use of cloud platforms such as AWS and Azure, plus problem-solving and teamwork.
Lead Data Engineer in Hyderabad (office 5 days/week, immediate joiners only) who hands-on reviews and delivers data pipelines using SQL, Python, ETL/ELT and Apache Spark (Scala/PySpark), mentors junior data engineers, and enforces data quality, governance and engineering standards for finance/reporting data.
Principal Data Engineer who owns and evolves Styli's data platform, leading a hands-on migration from BigQuery to a Databricks lakehouse (Delta Lake, Unity Catalog) on GCP while building batch/streaming pipelines and mentoring senior engineers. Core stack: Databricks, Airflow, dbt, Kafka, Python/PySpark, SQL.
IntraEdge is hiring a Data Engineer in Hyderabad to build microservices-based applications using Python (Django, FastAPI) and containerized deployments, working across various databases with a focus on vector databases, plus Gen AI application development including deploying offline models.
Lead a critical data engineering project building scalable ETL/ELT pipelines with Azure Data Factory and Azure data services, plus advanced T-SQL/SQL Server development, DBA work, performance tuning and data modelling. 7+ years experience; Kochi/Trivandrum or remote with mandatory 1 week onsite in Kerala.
Lead Data Engineer designing, building, and optimizing scalable ETL/ELT data platforms on Oracle and Google Cloud Platform. Day-to-day work centers on OIC integration development, API management, data quality controls, and troubleshooting, using SQL, PL/SQL, Python, BigQuery, and Airflow/Cloud Composer.
Designs, builds, and maintains large-scale data ingestion and ETL/ELT pipelines on the Databricks lakehouse, using medallion architecture, PySpark, Spark SQL, and Delta Lake, with orchestration via Airflow/ADF and governance through Unity Catalog.
B Lab (the nonprofit behind Certified B Corporations) is hiring a Data Governance Lead for its Data & ML Platforms team. Day to day, they own data standards, definitions, and sensitivity classification, keep the data platform compliant with data-related laws, and build data literacy so standards are adopted — working with SQL, data models, and cataloging/lineage tooling.
OurCoop is hiring a Data Platform Engineer in Warwick to design and operate scalable, secure data pipelines and architectures that power reporting, analytics, and AI. The role centers on Microsoft data technologies, including Azure data tools, Microsoft Fabric, and Synapse, with PySpark and SQL.
CMSPI is hiring a Senior Data Engineer in Manchester to lead its payments intelligence platform on Azure Databricks, building secure data ingestion, orchestration, and analytics pipelines. The focus is production-grade data engineering with reliable, observable, and governed data foundations for automated workflows and client onboarding.
Hiscox (HUGS) is hiring a data engineer in the UK to join its Enterprise Technology Data vertical, building scalable cloud/on-premise data warehouse solutions and owning end-to-end ETL pipeline design. Day to day involves translating business needs into pipelines within Agile teams and CI/CD workflows while collaborating with stakeholders.
Rightmove is hiring a Senior Data Platform Engineer in London to own the data platform infrastructure, tooling, and practices behind its data ecosystem on a modern GCP stack. Day to day involves writing robust Python and SQL, deploying infrastructure with Terraform, and influencing team standards in a hybrid setup (two office days per week).
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