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Purpose The IT Engineer Senior Data is responsible for designing and developing solutions and interfaces for the Data Platforms and Data Insights teams. This includes various data interfaces to and from databases,…
The Senior Data Scientist will partner with product and business teams to drive strategic decisions through A/B testing, data modeling, and metric forecasting. The role requires proficiency in SQL, Python or R, and the ability to communicate complex data insights to diverse stakeholders.
The AI Data Engineer III will architect and implement data platform solutions, focusing on automating data operations and integrating LLM-augmented capabilities like RAG pipelines. The role involves collaborating with cross-functional teams to build scalable data infrastructure and AI-driven self-service tools for a global mobility platform.
Lead Data Engineer shaping data architecture and engineering practices for Chase UK's digital banking platform, working with cloud platforms (AWS, Azure, GCP), data warehousing, ETL, and big data technologies.
Lead Data Engineer at a UK consulting firm, building AI-enabled data platforms on AWS using Spark, Python/SQL, and DevOps/MLOps practices for public sector clients.
Overview Join to apply for the Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK role at Akkodis This range is provided by Akkodis. Your actual pay will be based on your skills and experience — talk with your…
Jefferson Frank in London is seeking a Senior Data Engineer to design and optimize data pipelines using AWS and Databricks. You will work closely with the Data Science team to enable advanced analytics and ML models,…
Principal Engineer building scalable data platforms, ETL/ELT pipelines, and data architectures for BCG Expand's financial services benchmarking products, using Python/SQL/Java, cloud platforms, and various database technologies.
Databricks Data Engineer building scalable batch/streaming data pipelines and optimizing Lakehouse architectures on Databricks for client-facing consulting engagements at NTT DATA.
Hands-on Lead Data Engineer on a UK public sector project, designing and delivering enterprise Azure data solutions using Databricks and Fabric across the full data lifecycle.
Data Engineer Manchester £45,000 About the Company A fast‑growing, family‑oriented organisation operating across multiple locations in the UK with a strong focus on people, development and long‑term career growth are…
Data Engineer designing and building AWS cloud data pipelines, data warehouses, and data lakes using services like EMR, Glue, RedShift and languages such as Python, Java, Scala, Spark, and SQL for a consulting firm serving multiple sectors.
Data Engineer responsible for designing, developing, and maintaining data infrastructure, ETL/ELT processes, and data models using SQL, Python, and tools like Informatica and Talend.
Senior Data Engineer at SiFi will design and own the data platform, modeling standards, and AI-ready infrastructure for a corporate expense management platform. The role involves working with BigQuery, dbt/SQLMesh, and building financial data infrastructure with a focus on data modeling, warehouse architecture, reliability, and governance.
The Data Solutions Engineer designs and maintains data models, reports, and visualizations to support business intelligence and operational needs. The role involves enforcing data governance and collaborating with engineering teams to integrate data pipelines using tools like Power BI, Fabric, and Snowflake.
Hands-on leadership role managing a data engineering and data science team at a healthcare company, focused on building data pipelines, data warehousing with Snowflake, and analytics via Looker using SQL and Python.
Designs and maintains data models for Toss’s commerce, ads, payments, growth, and business domains, ensuring reliable, standardized data for analytics and product development using SQL, Python, and Hadoop.
Designs and operates scalable data pipelines (ingestion, streaming, batch) for real-time user behavior analytics, enabling targeting, recommendations, and performance tracking in a fintech platform. Core techs: Spark, Kafka, Flink, Airflow, and distributed storage (HBase, Cassandra).
Build and maintain Toss Securities' data warehouse and ETL pipelines using Hadoop, Spark, and Airflow to enable efficient data processing and analytics for a growing fintech platform.
Builds and maintains Toss’s enterprise data warehouse, automating pipelines and data marts with Hadoop and open-source tools while collaborating with analysts and ML teams.
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