376 to 400 of 443 ETL Jobs in London

s and London Market—is essential. What You’ll Do Build and maintain advanced Power BI dashboards and visual reports Write and optimise complex SQL queries , stored procedures, and ETL workflows Translate business needs into technical BI solutions by working closely with stakeholders Model and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple … re Looking For Technical Skills Expertise in Power BI (DAX, Power Query) and building impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases Experience with ETL tools (SSIS, Azure Data Factory, or similar) Strong data modelling skills (star/snowflake schema) Familiarity with Azure SQL, Synapse Analytics , or other cloud platforms is a plus Domain Knowledge More ❯

Compliance - Define and enforce data quality metrics and standards Ensure alignment with regulatory frameworks including GDPR and CCPA Technology & Enablement Evaluate and deploy modern data platforms and tooling (e.g. ETL services, data catalogues) Support the adoption of cloud-native technologies across analytics and storage layers Culture & Capability - Champion a data-first mindset through training and awareness initiatives Support role-specific … Essential - Strong foundation in data architecture and modelling (conceptual, logical, physical) Experience with data warehousing, data lakes, and master data management Hands-on expertise in data integration, orchestration, and ETL/ELT pipelines Familiarity with cloud platforms (Azure, Fabric, PowerBI) and relational databases (SQL Server, PostgreSQL) Minimum 3-4 years’ experience in a relevant data architecture role Previous experience in More ❯

Compliance - Define and enforce data quality metrics and standards Ensure alignment with regulatory frameworks including GDPR and CCPA Technology & Enablement Evaluate and deploy modern data platforms and tooling (e.g. ETL services, data catalogues) Support the adoption of cloud-native technologies across analytics and storage layers Culture & Capability - Champion a data-first mindset through training and awareness initiatives Support role-specific … Essential - Strong foundation in data architecture and modelling (conceptual, logical, physical) Experience with data warehousing, data lakes, and master data management Hands-on expertise in data integration, orchestration, and ETL/ELT pipelines Familiarity with cloud platforms (Azure, Fabric, PowerBI) and relational databases (SQL Server, PostgreSQL) Minimum 3-4 years’ experience in a relevant data architecture role Previous experience in More ❯

dynamic team and help shape the future of their data strategy. 🔍 Your Role: You’ll collaborate across the business to deliver high-impact data, applications, and services. From designing ETL pipelines to automating key processes, you’ll be at the heart of our data transformation journey. 🎯 What We’re Looking For: Proven experience in data engineering and solution design Strong … skills in Azure Data Factory, Databricks, Unity Catalogue, and SQL Server Practical knowledge of data modelling and ETL development Hands-on coding and development with a focus on quality Excellent communication and stakeholder engagement skills A collaborative, problem-solving mindset 💡 What You’ll Do: Build strong stakeholder relationships to shape effective data solutions Design and implement data models and ETL More ❯

dynamic team and help shape the future of their data strategy. 🔍 Your Role: You’ll collaborate across the business to deliver high-impact data, applications, and services. From designing ETL pipelines to automating key processes, you’ll be at the heart of our data transformation journey. 🎯 What We’re Looking For: Proven experience in data engineering and solution design Strong … skills in Azure Data Factory, Databricks, Unity Catalogue, and SQL Server Practical knowledge of data modelling and ETL development Hands-on coding and development with a focus on quality Excellent communication and stakeholder engagement skills A collaborative, problem-solving mindset 💡 What You’ll Do: Build strong stakeholder relationships to shape effective data solutions Design and implement data models and ETL More ❯

contract role offers the chance to work on high-impact initiatives, including powering intelligent chatbots and AI-driven analytics across the organisation. Key Responsibilities: Design, build, and maintain scalable ETL data pipelines to support AI, chatbot, and analytics use cases. Collaborate with data scientists, ML engineers, and product teams to deliver clean, reliable data for model training and real-time … and maintain Tableau dashboards to support data storytelling and operational insights. Optimise data workflows across cloud and on-prem environments, ensuring performance and reliability. Skills & Experience: Strong experience in ETL pipeline development using tools like Apache Airflow, Informatica, or similar. Advanced SQL skills and experience with large-scale relational and cloud-based databases. Hands-on experience with Tableau for data More ❯

National Security Consultancy in London. Up to £85,000 DoE plus bonuses Active eDV required London Location – full-time on-site when required Expertise required in AWS, Data Pipelines, ETL, Data Storage, and DevOps methodologies Role Overview: This role sits within our client’s rapidly growing Cloud Data Platforms team, part of the Insights and Data Global Practice. You will … of data and platform specialists who deliver modern cloud-based transformation for clients across a range of sectors. In this role, you will design and build data pipelines, develop ETL/ELT processes, and create innovative data solutions using the latest cloud technologies and frameworks across AWS. Some responsibilities include: Build data pipelines to ingest, process and transform data for … analytics and reporting. Develop ETL/ELT workflows to move data efficiently into data warehouses, data lakes and lake houses using open-source and AWS tooling. Apply DevOps practices, including CI/CD, infrastructure as code and automation, to improve and streamline data engineering processes. Design effective data solutions that meet complex business needs and support informed decision-making. Experience More ❯

National Security Consultancy in London. Up to £85,000 DoE plus bonuses Active eDV required London Location – full-time on-site when required Expertise required in AWS, Data Pipelines, ETL, Data Storage, and DevOps methodologies Role Overview: This role sits within our client’s rapidly growing Cloud Data Platforms team, part of the Insights and Data Global Practice. You will … of data and platform specialists who deliver modern cloud-based transformation for clients across a range of sectors. In this role, you will design and build data pipelines, develop ETL/ELT processes, and create innovative data solutions using the latest cloud technologies and frameworks across AWS. Some responsibilities include: Build data pipelines to ingest, process and transform data for … analytics and reporting. Develop ETL/ELT workflows to move data efficiently into data warehouses, data lakes and lake houses using open-source and AWS tooling. Apply DevOps practices, including CI/CD, infrastructure as code and automation, to improve and streamline data engineering processes. Design effective data solutions that meet complex business needs and support informed decision-making. Experience More ❯

technically skilled professional to influence decision-making and improve data-driven strategies. High proficiency with Qlik technology, including scripting and advanced set analysis Good understanding of data warehousing principles, ETL processes, data modelling, SQL, and Excel Proven experience leading business intelligence and data visualisation projects Strong SQL skills for data querying and manipulation Experience with complex data modelling and ETL More ❯

technically skilled professional to influence decision-making and improve data-driven strategies. High proficiency with Qlik technology, including scripting and advanced set analysis Good understanding of data warehousing principles, ETL processes, data modelling, SQL, and Excel Proven experience leading business intelligence and data visualisation projects Strong SQL skills for data querying and manipulation Experience with complex data modelling and ETL More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

critical data migration activities within this well-respected organisation. As the Data Migration Specialist, you will take ownership of designing and executing data migrations from legacy systems, developing standardised ETL packages using Azure Data Factory. You'll be responsible for ensuring data quality, accuracy, and integrity throughout the migration process, while establishing robust processes and documentation that ensure consistency across … functional and business leads, testing teams, and the Integration Team to align data migration activities with overall integration strategies and business objectives. We are looking for: Extensive experience in ETL development using SQL, Azure Data Factory, Synapse Pipelines, and Stored Procedures Proven experience in legacy data migration and ERP implementations, including at least two full life cycle implementations in a More ❯

critical data migration activities within this well-respected organisation. As the Data Migration Specialist, you will take ownership of designing and executing data migrations from legacy systems, developing standardised ETL packages using Azure Data Factory. You'll be responsible for ensuring data quality, accuracy, and integrity throughout the migration process, while establishing robust processes and documentation that ensure consistency across … functional and business leads, testing teams, and the Integration Team to align data migration activities with overall integration strategies and business objectives. We are looking for: Extensive experience in ETL development using SQL, Azure Data Factory, Synapse Pipelines, and Stored Procedures Proven experience in legacy data migration and ERP implementations, including at least two full life cycle implementations in a More ❯

critical data migration activities within this well-respected organisation. As the Data Migration Specialist, you will take ownership of designing and executing data migrations from legacy systems, developing standardised ETL packages using Azure Data Factory. You'll be responsible for ensuring data quality, accuracy, and integrity throughout the migration process, while establishing robust processes and documentation that ensure consistency across … functional and business leads, testing teams, and the Integration Team to align data migration activities with overall integration strategies and business objectives. We are looking for: Extensive experience in ETL development using SQL, Azure Data Factory, Synapse Pipelines, and Stored Procedures Proven experience in legacy data migration and ERP implementations, including at least two full life cycle implementations in a More ❯

the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes … Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes … Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

contract - please indicate your preference in your application. The migration work will have two parts: a) Migration of portfolio from our UW legacy CRM system to Gentrack. b) Build extract scripts to pull data from Gentrack Junifer database and load the data into UW BigQuery data warehouse to assist with management, regulatory, operational and other reports. This role will be … particularly focussed on (b) above and will include: interpreting Junifer data models, build ETL scripts, and populate energy data models in our UW BigQuery environment. We deliver progress. What you’ll do and how you will make an impact. This role would need: Experience in data migration projects (ideally energy platform migration). Experience in Gentrack Junifer application/data … of teams to meet the timelines and deliverables. What you’ll do Analyse Gentrack Junifer data models to understand their data structures. Write complex SQL queries to extract, transform, and load large datasets using Google Dataform and other tools. Work collaboratively with the wider energy data team to re-model and populate data warehouse data models in UW BigQuery. Work More ❯

Data Science Engineer - MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL We are actively working with a global law firm who are actively looking to bolster their IT team as they undergo a global-scale cloud transformation. At present they are looking to take on a new Data Science Engineer (MLOPS, Machine Learning … AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) to join their team on a permanent basis. this role we be responsible for the design, development and delivery of advanced analytics and AI solutions. This is a fantastic time to join a top-tier global law firm who have a long-stream of projects in the pipeline … alongside a diverse and collaborative team environment. To be considered for this Data Science Engineer (MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) role, it's ideal you have: Ideal but not required law firm experience 2-4 years experience within AI/ML positions Knowledge of cloud platforms (Ideally Azure) AI/ More ❯

skills. As we continue to scale, we're expanding our data engineering capability to strengthen our AI-driven learning ecosystem. WHAT YOU WILL BE DOING: Design, build, and maintain ETL/ELT data pipelines and integrations to support platform and analytics needs. Develop scalable, reliable data architectures using GCP, MongoDB, PostgreSQL, and Python. Collaborate with cross-functional teams to define … e.g. BigQuery, Cloud Storage, Dataflow) and other cloud-based data solutions. Proficiency in Python for scripting and data transformation. Hands-on experience with PostgreSQL and MongoDB. Solid understanding of ETL/ELT processes, data modelling, and data architecture principles. Strong SQL skills and familiarity with performance optimisation techniques. TO BE CONSIDERED... Please either apply online or email me directly at … for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: GCP | Python | SQL | MongoDB | Airflow | dbt | Terraform | Docker | ETL | AI | Machine Learning More ❯

data. You’ll be responsible for: Engaging with customers and understanding their requirements. Build secure, scalable pipelines and platforms. Working with technologies such as Databricks and Fabric to create ETL pipelines. Collaborating closely with clients and internal teams to make sure data systems are scalable, reliable, and aligned with business goals. What you’ll bring... Strong understanding of Python, Azure … Databricks and SQL. Experience in building and optimising ETL or ELT pipelines. Knowledge of Delta Lake and Spark for data processing and performance tuning. The ability to adapt quickly, as you’ll be working across multiple client projects and sectors. Strong communication skills are essential – you’ll be the bridge between technical teams and clients, translating complex requirements into actionable More ❯

the organization. Your Responsibilities Support data integration and solution design for portfolio companies Structure, clean, and validate messy or decentralized datasets Assist in building and maintaining data pipelines and ETL processes Translate business requirements into actionable data insights, particularly for finance reporting Run analytical playbooks to identify use cases across portfolio businesses Support smaller projects or tasks under guidance of … the senior data engineer Travel to portfolio companies across Europe, Asia, and the U.S. (up to 80%) Desired Qualifications Experience with data pipelines, ETL processes, and working across multiple systems Strong problem-solving skills and ability to work independently Ability to structure and clean messy datasets for portfolio-wide reporting Flexible and adaptable across different technical stacks Business-facing mindset More ❯

the organization. Your Responsibilities Support data integration and solution design for portfolio companies Structure, clean, and validate messy or decentralized datasets Assist in building and maintaining data pipelines and ETL processes Translate business requirements into actionable data insights, particularly for finance reporting Run analytical playbooks to identify use cases across portfolio businesses Support smaller projects or tasks under guidance of … the senior data engineer Travel to portfolio companies across Europe, Asia, and the U.S. (up to 80%) Desired Qualifications Experience with data pipelines, ETL processes, and working across multiple systems Strong problem-solving skills and ability to work independently Ability to structure and clean messy datasets for portfolio-wide reporting Flexible and adaptable across different technical stacks Business-facing mindset More ❯

front-end (React) and back-end (Python) components. Write and optimize SQL queries for data retrieval, reporting, and transformation. Develop robust Python scripts and services to handle data processing, ETL tasks, and database interactions. Collaborate with co-founders to define database schema and data pipelines, ensuring seamless integration with the application. Implement data security and performance best practices to ensure … Have: Familiarity with Azure cloud platform, DBT, Snowflake and Dagster Familiarity with Linux and Docker Experience working with companies in the Tech & Telecom industry Knowledge of data pipeline technologies (ETL, Apache Kafka, etc. More ❯