201 to 225 of 438 ETL Jobs in London

insights. What We’re Looking For: Proficiency in Java, Scala, or Python. Hands-on experience with cloud platforms (AWS, Azure, GCP) and data tools like Databricks. Strong knowledge of ETL/ELT pipelines, distributed systems, and SQL. Familiarity with CI/CD, automated testing, and performance tuning. Palantir Foundry experience is essential – we need someone who can hit the ground More ❯

AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems . This is a brilliant opportunity to join a More ❯

Your Skills and Experience 5+ years' experience across Data Engineering, BI or Data Operations Strong hands-on experience with AWS , Airflow , and Power BI Solid understanding of data pipelines, ETL, and debugging within cloud environments Strong problem-solving and stakeholder management skills Experience managing or working with offshore teams A proactive mindset with a passion for automation and operational efficiency More ❯

Analytics or Data Science, ideally in Customer Success, Operations or Digital Team. Strong SQL skills and experience with dashboarding tools such as Tableau. Familiarity with Snowflake, Databricks, Spark, and ETL processes. Python or automation is a plus. Knowledge of A/B testing and statistics. Strong communication and storytelling skills to influence diverse audiences. Experience with call centre or digital More ❯

to senior stakeholders on progress, risks, and dependencies. Experience & Skills Required Proven experience as a Product Owner , ideally within data or analytics-driven environments. Strong understanding of data platforms , ETL pipelines , and cloud technologies (Azure, AWS, or GCP). Experience working in Agile/Scrum delivery models within enterprise-scale organisations. Excellent stakeholder management and communication skills, with the ability More ❯

to senior stakeholders on progress, risks, and dependencies. Experience & Skills Required Proven experience as a Product Owner , ideally within data or analytics-driven environments. Strong understanding of data platforms , ETL pipelines , and cloud technologies (Azure, AWS, or GCP). Experience working in Agile/Scrum delivery models within enterprise-scale organisations. Excellent stakeholder management and communication skills, with the ability More ❯

successful in this role, you will have: Proven experience in data engineering using Azure, Databricks, and SQL. Strong leadership and mentoring skills within data or BI teams. Expertise in ETL orchestration and data architecture in an Azure cloud environment. Excellent communication and stakeholder engagement skills. Some of the package/role details include: Salary up to £95,000 Discretionary annual More ❯

successful in this role, you will have: Proven experience in data engineering using Azure, Databricks, and SQL. Strong leadership and mentoring skills within data or BI teams. Expertise in ETL orchestration and data architecture in an Azure cloud environment. Excellent communication and stakeholder engagement skills. Some of the package/role details include: Salary up to £95,000 Discretionary annual More ❯

successful in this role, you will have: Proven experience in data engineering using Azure, Databricks, and SQL. Strong leadership and mentoring skills within data or BI teams. Expertise in ETL orchestration and data architecture in an Azure cloud environment. Excellent communication and stakeholder engagement skills. Some of the package/role details include: Salary up to £95,000 Discretionary annual More ❯

engineering experience. Strong programming background in Python or Go, plus another object-oriented language. Proficiency in SQL (both transactional and analytical use cases). Experience working with data lakes, ETL frameworks, and orchestration tools such as Airflow. Familiarity with streaming systems (Kafka) and metadata management tools. Solid knowledge of cloud environments (AWS preferred) and Kubernetes. Understanding of DevOps, CI/ More ❯

engineering experience. Strong programming background in Python or Go, plus another object-oriented language. Proficiency in SQL (both transactional and analytical use cases). Experience working with data lakes, ETL frameworks, and orchestration tools such as Airflow. Familiarity with streaming systems (Kafka) and metadata management tools. Solid knowledge of cloud environments (AWS preferred) and Kubernetes. Understanding of DevOps, CI/ More ❯

expertise with InfoSphere DataStage and QualityStage Understanding of MOSAIC or comparable data migration frameworks Strong proficiency in XML , XSLT , and data transformation techniques Familiarity with SQL , data pipelines, and ETL processes Experience using test automation tools (e.g. Selenium, pytest, or custom frameworks for data testing) Knowledge of version control systems (Git, Bitbucket) and CI/CD pipelines for automated testing More ❯

expertise with InfoSphere DataStage and QualityStage Understanding of MOSAIC or comparable data migration frameworks Strong proficiency in XML , XSLT , and data transformation techniques Familiarity with SQL , data pipelines, and ETL processes Experience using test automation tools (e.g. Selenium, pytest, or custom frameworks for data testing) Knowledge of version control systems (Git, Bitbucket) and CI/CD pipelines for automated testing More ❯

Cloud flows, RPA) Dataverse (Advanced schema design, entity relationships, security roles) Microsoft 365: Integration with SharePoint, Teams, Exchange SQL: Complex queries and stored procedures Performance tuning and query optimisation ETL processes, data migration, and database design (desirable) Additional Skills: API integration Azure DevOps Application Lifecycle Management Workflow design (e.g., Visio) UX/UI principles .NET (beneficial but not essential) Soft More ❯

field and/or statistical background. Technical requirements: Proficient in SQL?and hands-on coding experience with Python for Data Analytics Experience with setting up and automating data pipelines, ETL processes, etc Proficiency in using data visualization tools such as PowerBI or Tableau In-depth experience with Adobe Analytics or Google Analytics Expert at designing, running and interpreting AB tests. 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 ❯

with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Key Responsibilities Design and implement scalable data pipelines and ETL/ELT workflows in Databricks using PySpark, SQL, and Delta Lake. Architect and manage the Medallion (Bronze, Silver, Gold) data architecture for optimal data organization, transformation, and consumption. Develop and … on experience with Databricks, Delta Lake, and Spark (PySpark preferred). Proven track record implementing Medallion Architecture (Bronze, Silver, Gold layers) in production environments. Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP More ❯

This role requires strong technical expertise, problem-solving skills, and the ability to work in a dynamic, client-facing environment. Your Impact: Develop, implement, and optimise data pipelines and ETL processes on Databricks. Work closely with clients to understand business requirements and translate them into technical solutions. Design and implement scalable, high-performance data architectures. Ensure data integrity, quality, and … data engineering processes. Mentor junior engineers and support knowledge-sharing across teams. Key Responsibilities: Design, build, and maintain scalable data pipelines using Databricks, Spark, and Delta Lake. Develop efficient ETL/ELT workflows to process large volumes of structured and unstructured data. Implement data governance, security, and compliance standards. Work with cloud platforms such as AWS, Azure, or GCP to … roles. Strong expertise in Databricks, Spark, Delta Lake, and cloud data platforms (AWS, Azure, or GCP). Proficiency in Python and SQL for data manipulation and transformation. Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect). Knowledge of data modelling, data warehousing, and lakehouse architectures. Familiarity with DevOps practices, CI/CD pipelines, and More ❯

This role requires strong technical expertise, problem-solving skills, and the ability to work in a dynamic, client-facing environment. Your Impact: Develop, implement, and optimise data pipelines and ETL processes on Databricks. Work closely with clients to understand business requirements and translate them into technical solutions. Design and implement scalable, high-performance data architectures. Ensure data integrity, quality, and … data engineering processes. Mentor junior engineers and support knowledge-sharing across teams. Key Responsibilities: Design, build, and maintain scalable data pipelines using Databricks, Spark, and Delta Lake. Develop efficient ETL/ELT workflows to process large volumes of structured and unstructured data. Implement data governance, security, and compliance standards. Work with cloud platforms such as AWS, Azure, or GCP to … roles. Strong expertise in Databricks, Spark, Delta Lake, and cloud data platforms (AWS, Azure, or GCP). Proficiency in Python and SQL for data manipulation and transformation. Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect). Knowledge of data modelling, data warehousing, and lakehouse architectures. Familiarity with DevOps practices, CI/CD pipelines, and More ❯

with the Investment Management team, you’ll work closely with both business and technology stakeholders, ensuring best practices in data governance, quality, and automation. Key Responsibilities: Build and maintain ETL/ELT data pipelines in Snowflake, integrating internal and external data sources (Bloomberg, SimCorp, market data vendors). Develop Power BI dashboards and reports to support investment, risk, and operations … Python and SQL skills; experience with Snowflake or other cloud data warehouses. Proven experience building dashboards and reports in Power BI (DAX, Power Query). Hands-on experience with ETL/ELT tools (dbt, Matillion, Informatica, etc.). Familiarity with APIs and data integration from market data providers. Knowledge of financial data and systems (Bloomberg, SimCorp Dimension) preferred. Understanding of More ❯

with the Investment Management team, you’ll work closely with both business and technology stakeholders, ensuring best practices in data governance, quality, and automation. Key Responsibilities: Build and maintain ETL/ELT data pipelines in Snowflake, integrating internal and external data sources (Bloomberg, SimCorp, market data vendors). Develop Power BI dashboards and reports to support investment, risk, and operations … Python and SQL skills; experience with Snowflake or other cloud data warehouses. Proven experience building dashboards and reports in Power BI (DAX, Power Query). Hands-on experience with ETL/ELT tools (dbt, Matillion, Informatica, etc.). Familiarity with APIs and data integration from market data providers. Knowledge of financial data and systems (Bloomberg, SimCorp Dimension) preferred. Understanding of More ❯

to build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable data pipelines and integrations on cloud data platforms. Build and optimise ETL/ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or … hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing More ❯

to build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable data pipelines and integrations on cloud data platforms. Build and optimise ETL/ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or … hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing More ❯

or similar modeling tools. Working knowledge of TOGAF, LeanIX, or enterprise architecture frameworks. Understanding of Master Data Management (MDM), data catalogs (e.g., Atlan), and data quality frameworks. Experience in ETL pipeline development (Matillion preferred) and Agile/Scrum environments. Knowledge of CI/CD pipelines, versioning (Bitbucket), and automated testing tools. Awareness of AI and Machine Learning integration concepts, including More ❯

or similar modeling tools. Working knowledge of TOGAF, LeanIX, or enterprise architecture frameworks. Understanding of Master Data Management (MDM), data catalogs (e.g., Atlan), and data quality frameworks. Experience in ETL pipeline development (Matillion preferred) and Agile/Scrum environments. Knowledge of CI/CD pipelines, versioning (Bitbucket), and automated testing tools. Awareness of AI and Machine Learning integration concepts, including More ❯