51 to 75 of 214 ETL Jobs in Berkshire

different technical solutions. The following skills/experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like AWS or Azure, particularly in data-related services. More ❯

ideally London Market Strong SQL skills (Python desirable) and experience with relational databases Ability to translate business needs into technical data solutions Familiarity with ETL, data modelling, and data governance Strong stakeholder management and communication skills Experience with Power BI, Azure, and tools like Informatica, Collibra, Alation Desirable Knowledge of More ❯

in the UK is must (No Sponsorship available) Responsibilities: Design, build, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP) Develop ETL processes using tools like Cloud Dataflow, Apache Beam, BigQuery, and Cloud Composer Collaborate with data analysts, scientists, and business stakeholders to understand data requirements Optimize More ❯

business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM More ❯

business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM More ❯

Azure stack, with tools such as Fabric, Azure Data Factory, Synapse Analytics, Data Lake, Azure SQL, and related services. Solid understanding of data modelling, ETL/ELT frameworks, and performance optimisation. Excellent communication skills, including the ability to present technical content to business stakeholders. Experience designing secure, compliant, and cost More ❯

Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka, Dataflow, Airflow, and ADF. Strong ETL and data modeling skills. Proven ability to design and implement effective database solutions, ensure compliance with regulations, and oversee data migration from legacy systems. Experience More ❯

as TensorFlow, PyTorch, or Scikit-learn. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Knowledge of data pipelines, ETL processes, and databases (SQL and NoSQL). Understanding of SaaS architecture and experience building scalable, secure applications. Excellent problem-solving skills and the ability to More ❯

but only if you have strong experience with Snowflake, Python, DBT, and Terraform. Key Responsibilities Build and optimize scalable data pipelines on Snowflake Develop ETL processes using Python and DBT to automate data flows Set up and manage Snowflake environments in the cloud using Terraform Collaborate with the team to More ❯

shape something from the ground up — this is for you. What you’ll do: Design and build a cloud-native data warehouse Develop scalable ETL/ELT pipelines and dimensional models (Kimball, Data Vault, etc.) Integrate multiple data sources (cloud & on-prem) Ensure high data quality, performance and reliability Collaborate More ❯

shape something from the ground up — this is for you. What you’ll do: Design and build a cloud-native data warehouse Develop scalable ETL/ELT pipelines and dimensional models (Kimball, Data Vault, etc.) Integrate multiple data sources (cloud & on-prem) Ensure high data quality, performance and reliability Collaborate 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 ❯

data sets, produce dashboards and drive actionable insights. SQL Development: Write and optimise complex Microsoft SQL Server queries for data extraction, transformation and loading (ETL). Data Governance: Implement master data management and governance policies to maintain data quality, compliance and lineage. Stakeholder Management: Communicate effectively with project managers and More ❯

data sets, produce dashboards and drive actionable insights. SQL Development: Write and optimise complex Microsoft SQL Server queries for data extraction, transformation and loading (ETL). Data Governance: Implement master data management and governance policies to maintain data quality, compliance and lineage. Stakeholder Management: Communicate effectively with project managers and 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 ❯

of opportunities for ownership and innovation. Key Responsibilities Design and deploy cloud-based data platforms using Snowflake, DBT, and related tools Develop performant, scalable ETL/ELT pipelines across varied data sources Build and maintain dimensional models using Kimball, Data Vault, or Data Mesh methodologies Collaborate with cross-functional teams More ❯

of opportunities for ownership and innovation. Key Responsibilities Design and deploy cloud-based data platforms using Snowflake, DBT, and related tools Develop performant, scalable ETL/ELT pipelines across varied data sources Build and maintain dimensional models using Kimball, Data Vault, or Data Mesh methodologies Collaborate with cross-functional teams 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 ❯

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 ❯

at minimum) Deliver strong CI/CD pipelines for robust delivery of software Data pipeline development, including building, orchestrating and scaling; have experience with ETL frameworks Data integration and interoperability in complex environments Technical Expertise – (Nice to Haves) Background in deployment of AI models with large experimental requirements, rather than More ❯

these in alignment with the analytics product development strategy and priorities. The role bridges strategy, operations, and governance, focusing on enabling the organization to extract value from data while maintaining compliance and quality standards. What will be your Key Responsibilities? Strategic Data Management Execute the vision, strategy, and roadmap for … management, data integration, and data engineering best practices. Proficiency in SQL, Python, or other data-focused programming languages. Experience with big data technologies and ETL processes. Project management skills with the ability to operate in Agile framework. Good communication skills, with a track record of aligning technical solutions to business More ❯

needs and business strategies. Cloud Architecture: Design and implement scalable, cost-effective architectures across AWS, Azure, or GCP environments. Data Engineering: Develop and manage ETL/ELT pipelines, data integration workflows, and implement CDC and delta load design for effective data management. SAP Tools: Lead SAP BW to SAP Datasphere More ❯

needs and business strategies. Cloud Architecture: Design and implement scalable, cost-effective architectures across AWS, Azure, or GCP environments. Data Engineering: Develop and manage ETL/ELT pipelines, data integration workflows, and implement CDC and delta load design for effective data management. SAP Tools: Lead SAP BW to SAP Datasphere More ❯

. Experience deploying solutions on customer infrastructure, including setting up CI/CD, databases, and containerized services. A solid understanding of data management and ETL processes; AI/ML experience is beneficial but not mandatory. Willingness to travel (up to 50%) to collaborate closely with client teams—onsite problem-solving More ❯