1 to 25 of 211 ETL Jobs in London

experience in data engineering 2+ years of hands-on experience with Snowflake Strong SQL development and performance tuning expertise Experience building ELT/ETL pipelines using tools such as dbt Labs, Informatica, or Fivetran Experience with scripting languages such as Python Experience with cloud storage (S3, Azure Blob, GCS) Strong ...

data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric Architect, implement and oversee high-performing data lakes, data warehouses and ETL/ELT processes Develop scalable, robust data models for enterprise-level reporting within Power BI Serve as a technical authority, advising clients on best-fit data solutions ...

cases across the organisation. Key Responsibilities Design, build, and maintain scalable, secure, and reliable data pipelines (batch and streaming). Develop and optimise ETL/ELT workflows to ensure efficient data ingestion and transformation. Build and maintain data models , feature stores, and data marts to support analytics and AI initiatives. ...

Skills & Experience Strong Microsoft Azure knowledge, including Azure SQL Database, Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics Solid data engineering background (ETL, data warehousing, data modelling) Advanced SQL skills Programming experience (Python, C#, or Java) Understanding of DevOps principles and CI/CD pipelines Strong communication and ...

. Desirable: Experience with architecting and implementing data pipelines, data lakes, and data warehousing solutions optimised for GenAI workloads. Strong knowledge of data modelling, ETL processes, SQL, and scripting languages such as Python. Experience with Big Data technologies (e.g., Hadoop, Spark) and data visualisation tools (e.g., Tableau, Power BI). ...

fully remote role. What You Will Be Doing Building and enhancing scalable data pipelines using Azure and Snowflake Developing and improving ETL/ELT processes across batch and micro-batch workloads Working extensively with Azure Data Factory, Azure SQL, Azure Storage and Azure Functions Designing and maintaining data warehouse structures ...

Collaborate across the business, ensuring solutions meet quality and performance expectations. Required Skills Strong Azure expertise (architecture, services, security). Solid data engineering experience (ETL, modelling, warehousing). Hands-on Azure Data Services: Data Factory, Data Lake, Synapse, Azure SQL. Proficient SQL and programming skills (Python/Java/C# ...

Collaborate across the business, ensuring solutions meet quality and performance expectations. Required Skills Strong Azure expertise (architecture, services, security). Solid data engineering experience (ETL, modelling, warehousing). Hands-on Azure Data Services: Data Factory, Data Lake, Synapse, Azure SQL. Proficient SQL and programming skills (Python/Java/C# ...

data governance. •Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). •Excellent communication and stakeholder management skills. Preferred •Experience with ETL tools and data integration processes. •Familiarity with data warehousing concepts and cloud data platforms. •Exposure to Fivetran, SSIS, or Snowflake advanced features. Personal Besides ...

Manchester. The Role and Responsibilities You will join the Data and AI team and be responsible for: Designing, building, and maintaining scalable ELT/ETL pipelines in a large-scale AWS environment Improving data warehousing and modelling across curated and analytics layers Enhancing governance, lineage, and data quality across ...

solutions in Databricks. Strong technical expertise in Databricks, including workspace design and configuration. Demonstrable experience implementing the Medallion Architecture for structured data transformation. Advanced ETL/ELT development experience using PySpark, Delta Lake and Databricks SQL. Practical experience with Unity Catalog for governance, metadata management and lineage tracking. Strong knowledge ...

strong culture of innovation. They're investing in data to support smarter decision-making as they continue to scale. Description Design, build, and maintain ETL/ELT data pipelines supporting People Analytics use cases. Develop scalable models and schemas to integrate data from HRIS, ATS, learning platforms, engagement tools, and ...

technical teams A security-first mindset when designing and implementing solutions Qualifications & Experience Essential Strong version control principles relating to databases Experience with ETL processes (SSIS or Azure Data Factory preferred) High availability and disaster recovery for SQL Server environments Administering, managing, and maintaining large-scale databases Advanced performance tuning ...

design, dimensional models) and created ADRs. Dimensional modelling (Kimball star schemas), SCD Type 2, MDM (entity resolution, golden records). Batch + incremental ETL/ELT pipelines. File-based integration (CSV/XLS ingestion, error handling). Database replication (SQL Server snapshot/delta strategies). Partitioning strategies (date-based ...

design, dimensional models) and created ADRs. Dimensional modelling (Kimball star schemas), SCD Type 2, MDM (entity resolution, golden records). Batch + incremental ETL/ELT pipelines. File-based integration (CSV/XLS ingestion, error handling). Database replication (SQL Server snapshot/delta strategies). Partitioning strategies (date-based ...

design, dimensional models) and created ADRs. Dimensional modelling (Kimball star schemas), SCD Type 2, MDM (entity resolution, golden records). Batch + incremental ETL/ELT pipelines. File-based integration (CSV/XLS ingestion, error handling). Database replication (SQL Server snapshot/delta strategies). Partitioning strategies (date-based ...

practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability ...

data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages. Practical expertise in Python, SQL, and modern ETL or orchestration frameworks. (Preferred) Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools) (Preferred) Hands-on experience with cloud platforms, ideally ...

documentation, lineage, governance standards. Required Skills/Experience The ideal candidate will have the following: Strong SQL; Snowflake ELT; dbt experience. Python/PySpark, ETL/ELT design. Data Vault 2.0 or dimensional modeling. AWS services (S3, Glue, Lambda, Redshift) or GCP equivalents. Experience with CI/CD for data ...

Azure, or GCP) Advanced SQL skills and experience with at least one backend language (Python, Scala, Java, etc.) Hands-on experience with data warehouses, ETL/ELT, and distributed systems A mindset focused on performance, reliability, automation, and scalability Confidence working cross-functionally and owning technical decisions Exposure to large ...

and capital allocation decisions. Role Responsibilities * Build and maintain scalable data pipelines, managing large data sets from internal and external sources. * Develop and optimise ETL processes using AWS, SQL, and modern cloud technologies. * Manage API integrations and automate data ingestion and transformation workflows. * Improve infrastructure scalability, performance, and data delivery ...

Your Skills: 16+ years of data/software engineering experience with deep expertise in Spark, Scala, and Python. Strong background in designing large‐scale ETL/ELT workflows and distributed compute optimization. Solid understanding of trade data, counterparty risk, and market/risk processes within banking. Hands-on experience ...

Strong programming skills in Python (pandas, NumPy, scikit-learn) and SQL. Experience in data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). Excellent communication skills for technical and non-technical stakeholders. Exposure ...

concepts: data modelling, survivorship, match and merge strategies. Experience in migrating data and applications from on-premises to cloud environments. Proficient in ETL processes, data integration, and data governance frameworks. Solid knowledge of SQL and relational databases. Familiarity with cloud platforms and services (AWS, Azure, or GCP) is an advantage. ...

play a pivotal role in shaping the data infrastructure. Your responsibilities will include: Own and evolve our data pipelines -designing, building, and maintaining ETL/ELT workflows that ensure high-quality, reliable data across the platform. Deploy and support production ML systems - from forecasting models to LLM-driven and agentic ...