201 to 225 of 727 ETL Jobs in the UK excluding London

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 ❯

Your expertise: Experience building serverless functions in AWS and/or Azure. Experience writing TypeScript and Python. Desirable: Experience with cloud data warehouses and ETL processes. Experience writing SQL and/or SQLX. Understanding of observability practices including logging, monitoring, and alerting. Interest in AI/ML technologies and their More ❯

joining a team of 45 people, including Data Scientists, ML Engineers and 2 Data Engineers. Day‑to‑day you will: Monitor, optimise and rebuild ETL/Delta Lake workflows in Databricks. Migrate legacy ingestion jobs to modern, cloud‑native patterns (Azure preferred, some AWS/GCP). Collaborate with scientists More ❯

joining a team of 45 people, including Data Scientists, ML Engineers and 2 Data Engineers. Day‑to‑day you will: Monitor, optimise and rebuild ETL/Delta Lake workflows in Databricks. Migrate legacy ingestion jobs to modern, cloud‑native patterns (Azure preferred, some AWS/GCP). Collaborate with scientists More ❯

end work, pulling and cleaning data, creating dashboards in Power BI and presenting insights back to stakeholders. YOUR SKILLS AND EXPERIENCE • Advanced SQL skills • ETL experience (Azure Data Factory or SSIS preferred) • Strong data visualisation skills (ideally Power BI) • Proven ability to interpret and communicate data insights • Experience managing workflows More ❯

with engineers to integrate data best practices across teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka More ❯

Experience working with cloud platforms (AWS preferred) and Infrastructure-as-Code tools. Solid understanding of relational databases and SQL. Proven track record building robust ETL pipelines , ideally using Airflow or a similar tool. Familiarity with best practices in software engineering: version control, testing, packaging, and code reviews. Quantitative problem-solving More ❯

and ongoing optimisation of cloud-native systems. Your responsibilities will include: Designing and implementing scalable data lakehouse architectures using Databricks on Azure. Building efficient ETL/ELT pipelines for structured and unstructured data. Working with stakeholders to ensure high-quality, accessible data delivery. Optimising SQL workloads and data flows for More ❯

with data visualization tools like Qlik, Tableau, Power BI, etc. Experience building and managing interactive dashboards and visualizations. Knowledge of SQL, data warehousing, and ETL processes. Understanding of commercial functions in the pharmaceutical or healthcare industry to connect data insights with business goals. Please send your CV via the 'Apply More ❯

with scripting languages (Python, PowerShell) 3+ years of experience with data quality management and issue resolution 2+ years of experience with cloud DW/ETL solutions (e.g., Snowflake, DBT) Experience in Agile delivery environments Strong understanding of cloud concepts and data platform infrastructure Experience with automation, testing and monitoring of 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 ❯

Risk and Claims) using data ingestion/analysis tools such as Intrali, Quantemplate or Matillion. The project centres on the extraction, transformation and loading (ETL) of data from various sources into data warehouses and data lakes. This is the perfect role for an aspiring Data Architect in the Insurance Industry. More ❯

We're Looking For Experience designing and building data solutions using Snowflake or a similar cloud-based platform. Strong SQL skills and experience in ETL/ELT pipelines. Comfort working with digital marketing data and KPIs (CAC, LTV, conversion rates). Familiarity with integrating data from platforms like Hubspot, Google More ❯

to challenge themselves in a collaborative environment, with scope to be instrumental in the scaling of the data infrastructure. Key Responsibilities Develop and optimize ETL/ELT processes to support data transformation and integrity for analytics. Explore and evaluate new data warehousing solutions, including Snowflake, to improve data accessibility and More ❯

a fast-paced environment. You should possess: Proven experience as a Data Engineer, particularly with MS Azure Strong knowledge of data warehousing concepts and ETL processes Proficiency in SQL and experience with data modelling tools A passion for data analysis and problem-solving Excellent communication skills to collaborate effectively with 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 ❯

and guidance Accurate, good analytical and mathematical skills DBA or equivalent experience handling large, varied and complex data sources and standardising them through an ETL process Proven experience of BI Toolsets such as Power BI, Tableau or Qlik, additionally SQL, Powershell, BI tools, Microsoft Access and Excel are necessary competencies 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 ❯

knowledge and grow as a team. Responsibilities Design, build and maintain data storage solutions and data pipelines Develop and maintain the data ingestion pipelines (ETL) Develop and maintain Machine Learning powered BI solutions allowing data analytics and visualisation Develop and maintain API endpoints Work closely with Engineering and Product teams More ❯

English with good written and verbal communication skills. Desirable (bonus points for each of these) Experience of Industrial Automation and Control Engineering Experience with ETL/data pipelines Experience of integrating with technology similar to databricks, PowerBI, Aveva PI Database schema design Experience of creating Windows installers Experience of GUI More ❯

English with good written and verbal communication skills. Desirable (bonus points for each of these) Experience of Industrial Automation and Control Engineering Experience with ETL/data pipelines Experience of integrating with technology similar to databricks, PowerBI, Aveva PI Database schema design Experience of creating Windows installers Experience of GUI More ❯

Services, AKS (Kubernetes), and related services. Data Ingestion & Management Ingest diverse data sources (exchange feeds, third-party APIs, FIX/WebSocket interfaces). Implement ETL processes and data models to drive downstream analytics and trading strategies. Uptime & Monitoring Implement health checks, alerting, and observability (metrics, logs, tracing) to maintain More ❯

Services, AKS (Kubernetes), and related services. Data Ingestion & Management Ingest diverse data sources (exchange feeds, third-party APIs, FIX/WebSocket interfaces). Implement ETL processes and data models to drive downstream analytics and trading strategies. Uptime & Monitoring Implement health checks, alerting, and observability (metrics, logs, tracing) to maintain More ❯