1 to 25 of 38 ETL Jobs in Yorkshire

What we're looking for: Solid hands-on experience with Azure Data Platform tools (e.g., Synapse, Data Lakes, ADF) Strong background in data modelling, ETL/ELT processes, and data integration Proficiency in SQL and Python (ideally with PySpark) Familiarity with Power BI, Microsoft Fabric, and CI/CD tools More ❯

Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem More ❯

Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience in data engineering, integration, and ETL/ELT projects 3+ years hands-on with Azure tools Strong command of SQL , stored procedures, and data modeling (Kimball or 3NF) Solid understanding of More ❯

relevant tools A track record of building, managing, and optimizing interactive dashboards and visualizations that drive business insights Knowledge of SQL, data warehousing, and ETL processes for data integration and preparation Understanding of commercial business functions, ideally within the pharmaceutical or healthcare industry, to connect data insights with business objectives More ❯

relevant tools? A track record of building, managing, and optimizing interactive dashboards and visualizations that drive business insights? Knowledge of SQL, data warehousing, and ETL processes for data integration and preparation? Understanding of commercial business functions, ideally within the pharmaceutical or healthcare industry, to connect data insights with business objectives More ❯

cloud-based BI architectures and services (e.g., Azure, AWS, GCP) Experience with SQL, DAX, and Power Query Understanding of modern data warehouse concepts and ETL/ELT workflows Full driver's licence and access to a vehicle Curious, looking to challenge the status quo and improve Collaborates well with both More ❯

business insight. In your first year, you'll be trained to: Write and optimise SQL queries to transform and manage data Build and maintain ETL pipelines and data models Create impactful dashboards and reports to solve real-world problems Understand how law firms operate and how to tailor our platform More ❯

business insight. In your first year, you'll be trained to: Write and optimise SQL queries to transform and manage data Build and maintain ETL pipelines and data models Create impactful dashboards and reports to solve real-world problems Understand how law firms operate and how to tailor our platform More ❯

to modernise and optimise test processes across the data and analytics function. Lead the development of test automation frameworks that support data ingestion, transformation (ETL/ELT), and analytical models. Work hands-on with tools like Snowflake, dbt, Fivetran , and Tableau , alongside SQL and Python. Design and implement scalable, agnostic More ❯

to modernise and optimise test processes across the data and analytics function. Lead the development of test automation frameworks that support data ingestion, transformation (ETL/ELT), and analytical models. Work hands-on with tools like Snowflake, dbt, Fivetran , and Tableau , alongside SQL and Python. Design and implement scalable, agnostic More ❯

and deliver customer-driven change requests, balancing efficiency with high-quality outcomes. Data Engineering & BI Development - Design, build, and optimise SQL-based solutions, from ETL pipelines to performance-tuned reports. Customer Collaboration - Maintain proactive communication with customers, ensuring transparency, accuracy, and value in every solution. Process Improvement - Develop best practices More ❯

analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend development: e.g. JavaScript/TypeScript, React, Dash, or similar More ❯

services (e.g., Azure SQL, Azure Data Lake, Azure Databricks). Strong understanding of data architecture principles and best practices. Proficient in data integration and ETL processes. Excellent problem-solving skills and ability to work independently. Strong communication and collaboration skills. An understanding of and/or experience in Infrastructure as More ❯

external stakeholders. You will be part of the Business Intelligence & Data team, supporting the BI Manager to take forward development projects whilst maintain and developing Extract, Transform and Load (ETL) pipelines from a range of business systems into the BI environment. You will also be maintaining and developing SQL based … reporting solutions Solid knowledge of MS SQL Server 2012-2022 data warehouse development and querying Experience using MS SQL Integration Services to develop complex ETL and automation solutions Expert knowledge of SQL Server Management Studio and Data Tools Knowledge of supporting programming and scripting languages such as C#, XML, PowerShell More ❯

must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving ETL processes. Strong proficiency in SQL and other programming languages used for data analysis. Advanced expertise in Power BI or similar data visualisation tools. Solid understanding More ❯

reporting team. This role is ideal for someone with strong technical expertise in SQL, Python, BigQuery, and Excel, and a passion for building robust ETL pipelines and integrating data from diverse sources. You will play a key role in transforming raw data … into curated datasets that power dashboards, reports, and strategic decision-making. Key Skills/requirements Design, develop, and maintain ETL pipelines to ingest, transform, and load data from various sources into centralized data platforms. Build and optimize data models and data marts in BigQuery to support analytics and reporting needs. … experience with Google BigQuery or similar cloud data warehouses. Advanced skills in Microsoft Excel, including pivot tables, formulas, and data visualization. Solid understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. More ❯

reporting team. This role is ideal for someone with strong technical expertise in SQL, Python, BigQuery, and Excel, and a passion for building robust ETL pipelines and integrating data from diverse sources. You will play a key role in transforming raw data … into curated datasets that power dashboards, reports, and strategic decision-making. Key Skills/requirements Design, develop, and maintain ETL pipelines to ingest, transform, and load data from various sources into centralized data platforms. Build and optimize data models and data marts in BigQuery to support analytics and reporting needs. … experience with Google BigQuery or similar cloud data warehouses. Advanced skills in Microsoft Excel, including pivot tables, formulas, and data visualization. Solid understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. More ❯

reporting team. This role is ideal for someone with strong technical expertise in SQL, Python, BigQuery, and Excel, and a passion for building robust ETL pipelines and integrating data from diverse sources. You will play a key role in transforming … raw data into curated datasets that power dashboards, reports, and strategic decision-making. Key Responsibilities: Design, develop, and maintain ETL pipelines to ingest, transform, and load data from various sources into centralized data platforms. Build and optimize data models and data marts in BigQuery to support analytics and reporting needs. … experience with Google BigQuery or similar cloud data warehouses. Advanced skills in Microsoft Excel, including pivot tables, formulas, and data visualization. Solid understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. More ❯

reporting team. This role is ideal for someone with strong technical expertise in SQL, Python, BigQuery, and Excel, and a passion for building robust ETL pipelines and integrating data from diverse sources. You will play a key role in transforming … raw data into curated datasets that power dashboards, reports, and strategic decision-making. Key Responsibilities: Design, develop, and maintain ETL pipelines to ingest, transform, and load data from various sources into centralized data platforms. Build and optimize data models and data marts in BigQuery to support analytics and reporting needs. … experience with Google BigQuery or similar cloud data warehouses. Advanced skills in Microsoft Excel, including pivot tables, formulas, and data visualization. Solid understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. More ❯

Microsoft Office products and applications. Ability to complete complex tasks quickly with minimal guidance and react with appropriate urgency. Basic knowledge of SQL, Python, ETL, and advanced Excel skills. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need workplace More ❯

equivalent. Experience with Salesforce clouds with focus on Service and Experience Clouds. Demonstrated experience and knowledge of relational databases, data modeling, unit testing, and ETL tools. Experience with Agile development methodologies such as SCRUM and Kanban. Experience with web services (REST & SOAP, JSON, LWC, XML, APEX, VisualForce, and SOQL, etc. More ❯

PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi. What's important for us: Academically Grounded : Bachelor's or Master's … or document data models. Strong understanding of database architecture principles, including sharding, replication, indexing, and optimization techniques. Data Driven : Proficiency in designing and developing ETL/ELT pipelines for data integration and transformation. Cloud Navigator : Confidently guiding projects through the AWS ecosystem and hands-on experience with Snowflake or similar More ❯

Azure Synapse, Azure Data-bricks, etc.). Define and enforce best practices for data architecture, governance, and security across the organization. Develop and optimise ETL/ELT processes to support data analytics and AI-driven initiatives. Collaborate with data scientists and process engineers to integrate machine learning models into production … field. Proven experience in data engineering and team management, preferably in a dynamic and fast-paced environment. Strong understanding of data architecture, data modelling, ETL/ELT processesand data pipeline development. Competency with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark, Kafka etc). Excellent More ❯

skills, knowledge and experience will you need? A good understanding of modern data architectures e.g. Data Warehouses and Data Lakehouse, and an understanding of ETL/ELT processes. Experience of leading technical and non-technical stakeholder engagement to represent the user in all product and prioritisation decision making. Experience of More ❯

skills, knowledge and experience will you need? A good understanding of modern data architectures e.g. Data Warehouses and Data Lakehouse, and an understanding of ETL/ELT processes. Experience of leading technical and non-technical stakeholder engagement to represent the user in all product and prioritisation decision making. Experience of More ❯