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Senior Data Engineer at Centrica working on a post-trade data platform for its energy business, based on-site in Hayes, London. The posting describes a large energy group building a greener, fossil-fuel-free energy system but does not specify the tech stack or detailed duties.
Senior backend engineer designing and operating scalable Spring Boot microservices and Kafka/Kinesis event-driven data pipelines on AWS, with PostgreSQL/DynamoDB schema work and advanced SQL, supporting data products for a Fortune 100 industrial manufacturer. Remote from Spain; requires a 6-hour overlap with US Central Time.
Capitole is hiring a Senior Data Engineer to design and evolve a modern data platform supporting advanced analytics, ML, and near-real-time decision systems. Day-to-day work centers on Databricks Lakehouse (Delta Lake, Workflows, Unity Catalog), PySpark and SQL, building Medallion architectures and scalable pipelines.
Builds scalable batch and streaming data pipelines for analytics and machine learning, designs multi-layer data models from staging to feature-ready marts, and owns ML feature store data flows — implementing CDC and event-driven architectures with Kafka while collaborating with Data Science, ML, Product, and Backend teams.
Designs and builds data integration pipelines connecting manufacturing systems (MES, ERP, PLM, QMS) into a governed data ecosystem for a space and defense company, enabling traceability and compliance across multi-site operations. Work centers on Python, T-SQL/PySpark, Azure Data Factory/Airflow, and cloud services on Azure Government and AWS GovCloud; fully remote US role requiring DoD clearance
Responsibilities: • Design and implement Infrastructure as Code (IaC) using Terraform to automate and manage infrastructure across Azure and Cloudflare, ensuring consistent and scalable deployments. • Oversee…
A senior, autonomous data engineer role designing and building scalable enterprise data pipelines and models on Databricks (PySpark, Delta Lake, Unity Catalog) and AWS (S3, Glue, Lambda, Step Functions, Redshift). Day to day involves leading ETL/ELT delivery, data modeling, data quality practices, and mentoring while supporting analytics and AI readiness initiatives.
Designs and builds an AI-native cloud data platform that turns enterprise data into actionable assets for both humans and AI agents, using Databricks, dbt, Airflow, and Python.
Senior data engineer at NTT DATA North America working on a data modernization and archiving project in Toronto: migrating historical financial data from legacy systems into a secure archival solution, building ETL pipelines, data models, mappings, and validation processes, and delivering reporting/insights with Power BI and Oracle PL/SQL.
AWS data center engineering role: assess colocation facilities against AWS standards, run risk/availability and root-cause failure analyses, and work with vendors and internal teams on mechanical, electrical, plumbing, and structural (MEPS) infrastructure. Requires a mechanical engineering background; includes up to 50% travel to data center sites.
NTT DATA Services is hiring a Senior Data Engineer for an on-site role in Tennessee. The engineer will support the evolution of an enterprise customer profile platform and its integration with a broader ecosystem, doing day-to-day data engineering work on a large-scale customer data platform.
Kagool, a global IT services and consulting firm, is hiring a Senior GCP Data Engineer in Bangalore to design, build, and optimize scalable data pipelines, lakes, and warehouses on Google Cloud. The core stack includes BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow, Dataproc, SQL, Python/Java/Scala, and Spark.
Senior Data Engineer (10-15 yrs) in Gurgaon, on-site, leading end-to-end data engineering: designing large-scale data architectures and pipelines, building Snowflake data warehouses and dbt transformation workflows, and using AWS services (S3, Lambda, Glue, Redshift) with strong SQL/Python in Agile teams.
Felbermayr, an Austrian transport, lifting and construction group, is hiring a Senior Data Platform Engineer to build its new data platform on Microsoft Fabric while migrating legacy reporting during an SAP rollout. Day to day: ETL/ELT pipelines, lakehouse data models, and feeding BI tools like Qlik Sense and Power BI.
A senior data engineer / solution architect designs and documents scalable GCP data architectures and builds streaming and batch pipelines with Dataflow (Apache Beam), BigQuery, Pub/Sub, MySQL and Redis, integrating analytics with MicroStrategy while leading technical teams and acting as the main client liaison. Fully remote role based in Spain.
ASOS is hiring a Senior Data Platform Engineer in London to design scalable, reusable data pipelines and platform components on Azure, Databricks, and Delta Lake, standardising ingestion, transformation, and serving layers while promoting CI/CD, data quality, testing, and observability.
A Senior Data Engineer will lead modernization of the client's core data platform on Microsoft Fabric and OneLake, building medallion-architecture (bronze/silver/gold) ingestion and transformation pipelines using Azure Synapse, Azure SQL Server, Data Factory, and DBT. They also deliver gold-layer models that feed Power BI semantic models for analytics and executive reporting.
A hands-on Senior Data Engineer building and scaling a cloud-based AWS data platform for a fintech team in London. Day to day: designing data pipelines and ingestion workflows, managing PostgreSQL and time-series data, and improving data quality and governance using Python, SQL, AWS (S3/data lakes), and orchestration tools like Dagster or Airflow.
A senior data engineer in Manchester owns end-to-end AWS data pipelines, ETL, and real-time data solutions supporting BI, while driving cloud migration, data warehouse/lakehouse architecture, and mentoring junior engineers. Core tech: AWS (Glue, Lambda, S3, Redshift, EMR), Python, SQL, and PySpark.
Designs and builds Quantexa-based data pipelines and configures Quantexa components for client engagements, leading data engineering initiatives at a consultancy. Day to day involves developing performant data workflows with Spark, Scala, and Python on Databricks, plus supporting CI/CD and DevOps for data solutions.
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