51 to 75 of 160 ETL Jobs in London

is a plus). • Strong Python and SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills able to explain complex analysis to More ❯

is a plus). • Strong Python and SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills—able to explain complex analysis to More ❯

and replacing the legacy solution for allocation factor calculation with an innovative, graph database-driven solution. Duties: Lead the design of data architectures and the development and optimisation of ETL/ELT pipelines to enable seamless integration of data from multiple sources, including raw datasets and outputs from GraphDB (NEO4J), hosted on Google Cloud Platform (GCP). Create and document More ❯

security standards are met. - Stay up-to-date with AWS developments and best practices. **Key Requirements:** - Proven experience with AWS services and tools. - Strong knowledge of data modeling and ETL processes. - Proficiency in programming languages such as Python or SQL. - Excellent problem-solving skills with a proactive approach. - Ability to communicate effectively within a team. If you are a skilled More ❯

security standards are met.- Stay up-to-date with AWS developments and best practices.**Key Requirements:**- Proven experience with AWS services and tools.- Strong knowledge of data modeling and ETL processes.- Proficiency in programming languages such as Python or SQL.- Excellent problem-solving skills with a proactive approach.- Ability to communicate effectively within a team.If you are a skilled and More ❯

experience in a Data Engineer role and a strong academic background Python & SQL: Advanced-level Python for data applications and high proficiency SQL for complex querying and performance tuning. ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud More ❯

explain technical issues in simple terms. Desirable criteria: Previous experience working with health or research data, Certified Data Management Professional (CDM). Experience with integration tools, data pipelines, or ETL platforms. Exposure to Solutions/Data architecture methods. Experience working alongside agile delivery teams. Involvement in pre-sales or procurement discussions such as helping scope requirements, reviewing contracts, or supporting More ❯

. Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and containerised deployments (Docker, ECS). Knowledge of secure coding practices and managing sensitive data. Excellent communication, problem-solving, and leadership skills. Nice More ❯

business growth. Key Skills You'll Learn: Handling, cleaning and analysing data using Microsoft Excel, SQL, Python and more Data visualisation, reporting and storytelling Data engineering and modelling, and ETL pipelines Data governance & ethics, including data protection, compliance, and responsible AI use Your Career Starts Here At Sparta Global, we're redefining what digital careers look like-and who gets More ❯

ERP) systems, financial reporting software, and HR management systems. Ability to understand database schemas and reporting tools for these systems. Integration & Architecture: Strong skills in systems integration - leveraging APIs, ETL tools, or integration platforms (iPaaS) to connect disparate systems. Understanding of enterprise architecture principles to ensure scalability and maintainability of solutions. Data & Analytics: Familiarity with data warehousing and business intelligence More ❯

AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB . More ❯

Deliver custom insights and analytics to support marketing and sales objectives. Build and maintain Tableau dashboards and reports to track KPIs, campaign performance and user engagement. Develop and maintain ETL pipelines using SQL and Python. Translate business needs into analytical requirements, communicating findings with clarity and impact. Conduct data analysis and A/B testing to measure the effectiveness of More ❯

encouraging accountability, learning, and growth. Experience required Track record coaching and mentoring engineers in a Senior BI Developer role or Leadership role Strong knowledge of SQL Server, SSIS, SSAS, ETL pipelines Experience would be highly useful with PowerBI, Azure services (Data Factory, Synapse, Data Lake), CI/CD, and DevOps Strong communication skills with the ability to bridge technical and More ❯

architects, developers, and stakeholders Facilitate workshops and support data governance initiatives Contribute to enterprise data strategy decisions Requirements: Strong SQL, relational database design, and data modelling skills Experience with ETL, data warehousing, and platforms like SQL Server, Oracle, Snowflake Familiarity with ServiceNow and cloud architecture Deep understanding of enterprise systems and data flows Experience with API integrations and system interfaces More ❯

Ensure security and compliance with DV-level clearance standards Skills & Experience: Current DV clearance (essential) Proven experience working with Palantir Foundry in complex environments Strong skills in data engineering, ETL processes, and data modelling Proficiency in relevant programming/scripting languages (e.g. Python, SQL) Experience working with large-scale datasets in secure environments Strong problem-solving skills and stakeholder engagement More ❯

architects, developers, and stakeholders Facilitate workshops and support data governance initiatives Contribute to enterprise data strategy decisions Requirements: Strong SQL, relational database design, and data modelling skills Experience with ETL, data warehousing, and platforms like SQL Server, Oracle, Snowflake Familiarity with ServiceNow and cloud architecture Deep understanding of enterprise systems and data flows Experience with API integrations and system interfaces More ❯

have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including S3 and Lambda You have a good understanding of data modelling and batch/streaming ETL/ELT patterns You're collaborative and pragmatic with great communication skills What's in it for you: As a Senior Data Engineer you will receive a competitive package: Salary More ❯

have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including S3 and Lambda You have a good understanding of data modelling and batch/streaming ETL/ELT patterns You're collaborative and pragmatic with great communication skills What's in it for you: As a Senior Data Engineer you will receive a competitive package: Salary More ❯

position You have expertise with PowerBI You have advanced SQL skills for data querying and analysis You have a good understanding of data modelling and data warehousing concepts including ETL You have end-to-end project experience, are detail orientated and able to manage multiple deliverables across competing priorities You have excellent communication, collaboration and stakeholder management skills with the More ❯

in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how you feel More ❯

engineer, data in industry Expertise with Python coding and type system Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus) Experience with building both batch and streaming ETL pipelines using data processing engines Deep understanding of building Knowledge Graphs entailing biological ontologies, and leveraging graph DBs for their storage Experience with cloud development (we use GCP and Terraform More ❯

with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and … of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g. More ❯

commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with modern data More ❯

commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with modern data More ❯

an initial 6-month contract. Key skills/knowledge required: Strong proficiency in Python-based testing frameworks (e.g., Behave, PyTest, unittest) Experience in automated testing of data pipelines and ETL processes Experience with data validation frameworks and testing data transformations across Snowflake and AWS environments Knowledge of API testing tools and frameworks (Postman, REST Assured, or similar) Hands-on experience More ❯