51 to 75 of 289 ETL Jobs in the UK excluding London

inclusive environment through collaborative leadership, resolving organisational challenges, and mentoring colleagues. What You'll Bring Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow ...

data policies. Technical & Business Skills Data Architect Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). Deep expertise in data integration patterns (ETL/ELT, API-led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect Deep expertise in metadata management, master ...

flows from operational systems into the Trust data warehouse and analytics platform (RADAR). To lead on the development, optimisation and maintenance of complex ETL processes, SQL scripts, data models and related technical components across the Trust's Business Intelligence estate, including SQL Server, SSIS, SSRS, Power BI and associated ...

pipeline and dataset is discoverable, addressable, and secure by design. Data capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced ...

/ML models that fuel our data-driven operations. Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data ...

with Power BI best practices, security, and sharing capabilities. Proficient in SQL and experience with querying databases (SQL Server, Oracle, etc.). Knowledge of ETL (Extract, Transform, Load) processes and tools. Analytical thinker/problem solver Keen to learn and understand what is available in the market to support ...

improvement and best practice adoption across the team Skills and Experience Previous experience working as a Data Engineer Strong understanding of data engineering principles, ETL processes and data warehousing concepts Experience using workflow orchestration tools such as Airflow to schedule, monitor and manage data pipelines Experience working with at least ...

Python, R Cloud computing platforms: Azure, AWS, GCP Experience in any aspects of the data analytics lifecycle, for example: Data Strategy Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform and ...

operational performance. Key Experience: Hands-on experience with Power BI an Dashboard development. Frequent exposure to data modelling techniques. Understanding of data pipeline and ETL development. Strong SQL experience. Experience working with large datasets and data sources. Desirable: Microsoft Fabric experience or exposure. Understanding of Python or alternative coding languages. ...

and business stakeholders, you'll be responsible for the data development that powers reporting, analytics and business intelligence capabilities. Key Experience Strong understanding of ETL/ELT pipeline development. Experience building and maintaining data pipelines in cloud environments. Data modelling experience - Dimensional and 3NF concepts. Data warehousing, lakehouse and lake ...

and non-technical stakeholders to translate business requirements into scalable data capabilities. Required Experience: Proven experience designing and delivering enterprise-scale data pipelines and ETL/ELT solutions. Strong hands-on expertise with Microsoft Fabric, Azure Data Services and cloud-based data platforms. Advanced SQL and data modelling skills. Experience ...

What You’ll Be Doing Designing and delivering robust data models (conceptual, logical, dimensional) for analytics and reporting Building and optimising data platforms and ETL/ELT pipelines in cloud environments Ingesting and integrating data from various sources (APIs, databases, flat files) Translating business needs into scalable, maintainable data solutions ...

supporting event operations across channels. 5+ years in data architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. ...

Kubernetes and container-based platforms Data Warehousing and Data Lake technologies CI/CD tooling and deployment automation Infrastructure as Code ETL/ELT frameworks API integration and distributed systems Data Governance and Metadata Management What We're Looking For Experience designing enterprise-scale data or integration platforms Strong architecture ...

. Expertise in data visualisation tools such as Power BI or Looker. Good understanding of analytical methodologies and data-driven problem solving. Exposure to ETL processes, data pipelines, or database automation. Strong stakeholder management and communication skills. Confident presenting insights to both technical and non-technical audiences. Advanced Excel skills ...

least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state Able to build and present a working demo or prototype at pace, including with modern ...

trust through integrity. 3+ years of experience within a data engineering or software development team Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and ...

and turn findings into clear, actionable insight. Experience in dashboard development, reporting, KPI design, and management information. Good understanding of data engineering concepts, including ETL processes, data pipelines, APIs, and system integration; SQL knowledge would be advantageous. Strong business analysis skills, including requirements capture, process mapping, and recommending ...

grows Must have: Cloud data engineering on AWS – this is non-negotiable People management and team leadership experience Strong SQL and T-SQL ETL/ELT pipelines, SSIS, Matillion or similar Data visualisation Infrastructure as Code awareness, Terraform or similar Stakeholder management Nice to have: Real-time and event-driven ...

Kafka, Flink, Spark Solid understanding of stream processing concepts Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms Understanding of distributed compute, large-scale data ...

similar role Strong skills in Azure , Fabric , Data Factory , Synapse , or similar Proficiency in SQL , Python , or other scripting languages Understanding of data modelling , ETL/ELT , and pipeline orchestration Experience working with large datasets and cloud‐based architectures A proactive mindset and ability to work in a fast‐moving ...

Experience migrating relational SQL databases into a document-oriented NoSQL platform such as Cosmos DB, MongoDB, DynamoDB or Couchbase. Strong understanding of data modelling, ETL/ELT and transformation methodologies. Familiarity with Microsoft Azure or comparable cloud data services. Strong communication and stakeholder-engagement skills. Previous experience as a Database ...

target operating platform - working closely with the Data Workstream Lead, business SMEs, and application teams. What you'll be doing: Designing and building ETL/ingestion pipelines using Microsoft Fabric (Data Factory, Pipelines, Lakehouse, Notebooks) or equivalent Azure tooling Implementing source-to-target mappings and transformation logic for the migration ...

Kafka, Flink, Spark Solid understanding of stream processing concepts Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms Understanding of distributed compute, large-scale data ...

Experience with TensorFlow, PyTorch or similar frameworks. Understanding of machine learning and model deployment. Experience with Azure, AWS or GCP. Knowledge of data pipelines, ETL and MLOps. Strong analytical and problem-solving skills. What Do They Offer? Salary up to £50,000. Hybrid and flexible working. Modern AI projects using ...