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Senior Data Engineer (Microsoft Fabric, PySpark, SQL) Build a centralised, trusted data warehouse for internal technology insights using Microsoft Fabric. Own complex engineering work across PySpark, SQL, medallion…
Biffa is hiring a hybrid Data Engineer in High Wycombe (2 days per week in office) to design, build and maintain scalable data pipelines and platforms that enable analytics across operations and commercial functions, working with Azure Data Factory, Microsoft Fabric and modern cloud services.
Consultant at Talan Data x AI delivering client data solutions: building and optimising Databricks/PySpark pipelines, Power BI dashboards, and Python/SQL-based data platforms on Azure/AWS/GCP/Snowflake. Client-site work and extended travel expected.
Morson Talent is hiring a Senior Data Engineer for a leading UK retail organisation to design and deliver production-grade data ingestion and transformation pipelines supporting Customer 360, analytics, and AI/ML initiatives. The role involves owning technical problems, contributing to architecture across AWS/Azure/GCP, and working hybrid from London/Waterloo.
Designs and maintains scalable database automation frameworks in Java to ensure data pipeline reliability, correctness, and performance at Fivetran, leveraging AI/ML tools for smarter testing and debugging.
Design and maintain data systems to ingest and transform military sensor data into actionable insights for air defense systems, using cloud and specialized tools.
Product Owner - Data based in Brazil who owns end-to-end delivery of business-critical data assets: translating business use cases into data requirements, leading technical build squads, and overseeing data quality, governance, and documentation. Core tools include SQL, Python, Power BI, Excel, Databricks, and Azure DevOps in an international, matrixed environment.
Senior Engineering Manager leading Quince's MLOps team to build and scale the infrastructure powering production machine learning for its e-commerce business — model training, deployment, serving, and monitoring — on cloud-native tooling like AWS, Kubernetes, Terraform, SageMaker, and Kubeflow, while mentoring engineers and managing compute costs.
Builds and operates a central AI platform from the ground up, creating scalable services and tooling (model gateway, RAG-as-a-service, prompt management, observability, evaluation) that multiple product teams use to ship AI features reliably. Core stack: Python plus Go/Java, LLM APIs, LangChain/LlamaIndex, Kubernetes and Terraform on AWS or Azure.
Lead Pine Labs' data engineering function in Noida (office-based, 5 days/week): build and scale real-time pipelines with Kafka/MSK, Debezium and Apache Pinot, run data lakes on S3 with Iceberg, Glue and Athena, and ship Java/Python data tooling on AWS (ECS/EKS, Terraform) while mentoring engineers.
Senior Azure Data Engineer (6+ years) in Chennai who designs, builds, and maintains scalable ETL/ELT data pipelines and large-scale data processing on Azure, working day to day with Python, PySpark, Azure Databricks, and Snowflake, with emphasis on performance tuning, data quality, and governance.
Data Engineer on Chargebee's Data Platform team, building and maintaining scalable data pipelines covering ingestion, distributed processing, transformation, and serving for internal analytics and customer-facing data features. Core stack: Apache Spark, Kafka, SQL, Java/Python/Scala, relational databases, and AWS.
A junior data engineer role in Bangalore (on-site, full-time) building and supporting Azure cloud data pipelines: ingestion, ETL/ELT, and transformations with Azure Databricks, PySpark, SQL, and Python, using Delta Lake, Medallion Architecture, ADLS Gen2, and CI/CD via Azure DevOps. Requires 2–3 years of hands-on project experience.
Senior Data Engineer (6-12 years) building and maintaining scalable data transformation pipelines using Python, Azure, PySpark, and Databricks, with PostgreSQL/MongoDB databases. Day to day involves ETL/ELT development, calculation engines, optimization for large datasets, and collaboration in Agile engineering teams.
Senior Data Engineer in Chennai designing, building, and optimizing scalable data pipelines and platforms across batch and streaming workloads. Core stack is Amazon Redshift, dbt, and Azure DevOps, with strong SQL, Python/scripting, data modeling, and data governance responsibilities.
Builds predictive models, optimizes operations, and integrates analytics for government/public-sector projects using Python, AWS SageMaker, and SQL, with a focus on explainable AI and scalable solutions.
Designs and builds AWS-based data lakes and lakehouses, setting up ingestion pipelines, storage tiers, and governance while optimizing for cost and performance.
Senior Salesforce engineer building scalable Salesforce solutions, Lightning Web Components, and AI agents with Agentforce and Data Cloud integrations.
Contract role in Singapore to design, build and operate scalable data and logging platforms, developing ingestion, streaming and data pipelines across hybrid AWS/Azure and on-premise environments, with infrastructure as code using Terraform/OpenTofu, Ansible and CI/CD.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
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