101 to 125 of 288 ETL Jobs in the UK excluding London

integration, data platforms and AI-enabled products and services within a complex enterprise environment. Strong understanding of modern data engineering practices, including data pipelines, ETL/ELT, data modelling, data governance, security, privacy and access management. Experience working with data platforms and technologies such as Snowflake, SQL-based data environments ...

excellent opportunity to join a forward-thinking organisation investing heavily in its Microsoft data ecosystem and cloud technologies. Responsibilities: Design, build and maintain scalable ETL/ELT data pipelines Develop and optimise cloud-based data solutions Build and maintain Azure Data Factory pipelines Work with Azure SQL, Synapse Analytics and … development skills Commercial Python experience Hands-on experience with Azure Data Factory (ADF) Experience working with Microsoft Azure data services Strong understanding of ETL/ELT processes Experience designing and maintaining data pipelines Knowledge of data warehousing concepts and data modelling Experience using Git/version control Strong communication skills ...

data model. Translate business requirements into technical data integration and transformation solutions. Design, develop and maintain scalable data pipelines across multiple enterprise systems. Develop ETL/ELT processes and reusable transformation logic. Design and implement enterprise data models that support reporting, analytics and future system onboarding. Integrate data into Snowflake … with business stakeholders to gather and validate requirements. Strong understanding of enterprise data architecture and data modelling principles. Advanced SQL. Strong Python development experience. ETL/ELT development. Experience with Snowflake or an equivalent cloud data platform. Experience using Azure Data Factory, Precog or similar integration technologies. API development and ...

monitored, documented and maintained to minimise technical debt. Data & Database Management Support the design, implementation and enhancement of enterprise data warehouse solutions. Lead Extract, Transform and Load (ETL) processes and activities. Create, configure, maintain and support databases and database services. Optimise database performance, security and reliability. Support data integrations and … pipelines. Experience supporting enterprise applications and business systems. Strong database administration and support experience. Experience with SQL Server, MySQL and PostgreSQL. Knowledge of ETL processes and data warehousing concepts. Experience with cloud infrastructure, automation and Infrastructure as Code. Strong troubleshooting and third-line support experience. Experience with monitoring, logging and ...

Qualifications Experience working in an insurance business domain or in another relevant banking and finance domain. Experience with cloud technologies, enterprise integration tools and ETL tools. #J-18808-Ljbffr ...

could be a great role for you.* Strong experience with AWS services and Databricks * Proficiency in SQL and experience with data modeling * Familiarity with ETL processes and data integration tools * Knowledge of data warehousing concepts and architecture * Ability to work collaboratively with cross-functional teams This is a hybrid role ...

Strong hands on experience with Python 3 * Experience working with Apache Airflow * Experience working within Dockerised environments * Good understanding of data engineering principles and ETL processes * Strong problem solving and communication skills * Financial markets or trading domain exposure would be beneficial Interested? If you're a Data Engineer looking ...

data scientists and consultants on projects tackling real-world challenges. From a technical perspective, we're looking for someone comfortable with: Building and maintaining ETL pipelines and integrations Working with SQL and Python ( R is a bonus) Experience working with AWS or Azure Supporting analytical workflows and collaborating with data ...

work with technical and non-technical stakeholders. Desirable Skills C#, .NET or web development experience. Power BI development and reporting. Azure cloud technologies. ETL and data migration experience. Housing sector experience within a Housing Association or Local Authority. Knowledge of ITIL and Agile methodologies. Qualifications Degree in Computer Science, Information ...

where appropriate. Prepare datasets for inclusion in PBI reports. What we are looking for Strong understanding of the principles of database systems, data warehouses, ETL processes, APIs and data analytics. The resilience to deal with and work around the limitations of legacy systems, and to adapt as systems change. Excellent ...

Data Tools: Hands-on experience with Power Query , SQL (extraction/reporting), and Data Modelling . Exposure to Power BI, DAX, Microsoft Fabric, or ETL/ELT pipelines . Knowledge of database administration (SQL stored procedures, CRUD) or low-code platforms. Key Recruitment Dates Phone Interviews: w/c 10th ...

modern data engineering technologies Practical experience developing Production‐scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred qualifications, capabilities ...

Microsoft SQL Server database solutions. Expert knowledge of T-SQL, including stored procedures, functions, views and performance optimisation. Strong experience with relational database design, ETL processes (SSIS or equivalent) and high-volume transactional databases. Proven ability to troubleshoot and optimise SQL performance, including query tuning, execution plans, locking and deadlocks. ...

architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return, you can expect a flexible working culture, including: Non-contributory career-average ...

architecting conceptual, logical and physical models Proven experience with SQL and NoSQL databases such as PostgreSQL, MySQL, DynamoDB and Bigtable Hands on experience building ETL/ELT pipelines and optimising data transformations Practical knowledge of AWS services such as Kinesis, S3 and Redshift, and GCP services such as Pub/ ...

best solutions for the future state architecture. Knowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development. Knowledge of some Data Formats such as JSON, XML, and binary formats such as Avro or Google Protocol Buffers. Experience collaborating with ...

Weaviate Milvus ChromaDB Cloud Platforms Commercial experience with one or more: AWS Microsoft Azure Google Cloud Platform (GCP) Enterprise Data Data Engineering Data Platforms ETL Vector Databases Enterprise Search Semantic Search Knowledge Graphs OCR Document Processing SQL NoSQL Streaming Data Software Engineering Strong experience across several of: Python TypeScript Java ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

someone who wants to build scalable, well governed data platforms, not simply produce dashboards. Key Responsibilities Design, build and maintain scalable data pipelines and ETL/ELT processes Develop and optimise a modern cloud data platform Build semantic models, datasets and data products for business users Deliver Power BI reports … years' experience in Data Engineering or Analytics Engineering Track record designing and building production grade data pipelines Strong data modelling, data warehousing and ETL/ELT development skills Excellent SQL and a solid understanding of modern cloud data platforms Commercial experience with Microsoft Fabric and/or Snowflake Experience working ...

scalable semantic data models and reusable datasets Creating intuitive self-service reporting solutions for business users Developing and maintaining Azure-based data pipelines and ETL processes Designing scalable Azure data architecture Optimising SQL queries and database performance Improving data quality, governance and documentation Translating business questions into analytical solutions that … development experience Strong SQL and database optimisation skills Experience designing robust data models Excellent knowledge of DAX and Power Query (M) Experience developing ETL processes Strong understanding of Azure data services Knowledge of data warehousing principles Advanced Excel skills Excellent understanding of data governance and data quality Strong commercial awareness ...

efficient data architectures that enable timely access to trusted data. How Will you Make an Impact: You will be responsible for developing and optimizing ETL/ELT processes, integrating data from diverse enterprise systems, and ensuring the quality, security, and governance of data assets. Leveraging modern cloud technologies and data … plus • Advanced proficiency in SQL and strong experience with Python or other programming languages used for data engineering • Experience designing, developing, and maintaining scalable ETL/ELT pipelines and data integration solutions • Strong knowledge of relational databases, data warehouses, and modern data lake/lakehouse architectures • Experience working with cloud ...

agent based capabilities within data and analytics platforms * Producing architectures and designs for complex end-to-end data solutions, including data storage and management, ETL/ELT, reporting and analytics * Advising clients on architecture/infrastructure, platform and engineering best practices across data warehouse/data lake solutions and modelling … such as: o Relational DBMS o NoSQL o Graph databases o Cloud object storage o DB as a service * Architecture and design concepts for ETL/ELT solutions, using a range of tooling * Designing and applying data virtualisation technologies, particularly at enterprise scale * Architecture and design concepts for data exploitation ...