226 to 250 of 842 ETL Jobs in London

leadership. Skills you’ll bring as a Principal Data Engineer: • Extensive experience with AWS data services (Redshift, Glue, S3, etc.). • Hands-on with ETL/ELT using Matillion or similar tools. • Strong Python and SQL skills, with a good understanding of data formats • Demonstrated experience in designing data lakes More ❯

Head of Data Engineering – Databricks, Azure, Data Strategy, Data Governance, Leadership, Management, Azure, Python, ETL, Data Pipelines, Private Markets A global Private Equity firm are seeking an experienced Head of Data Engineering as part of a critical data transformation and modernisation programme, moving towards a data-first approach. They are More ❯

Head of Data Engineering – Databricks, Azure, Data Strategy, Data Governance, Leadership, Management, Azure, Python, ETL, Data Pipelines, Private Markets A global Private Equity firm are seeking an experienced Head of Data Engineering as part of a critical data transformation and modernisation programme, moving towards a data-first approach. They are More ❯

degree in a STEM field preferred. 2-3 years of experience in consulting, strategy, or data analytics roles. Proficiency in Excel (advanced), SQL (PostgreSQL), ETL pipelines, and PowerBI or similar visualization tools. Strong communication and collaboration skills. Ability to translate and visualize data clearly and accurately. Entrepreneurial mindset with the More ❯

Spring Batch. Knowledge of data frameworks, database design, SQL, Stored Procedures, MDX, APIs. Experience with MS SQL Server, SSRS, PowerBI, SSAS, PostgreSQL. Familiarity with ETL technologies like Informatica, Spring Batch, SSIS. Experience managing software development teams and processes. Understanding of agile methodologies and DevOps tools like Jira, Bitbucket, Bamboo. Beneficial More ❯

with cutting edge technology while maintaining exceptional work-life balance. Contact me @ (url removed) or on (phone number removed). Data Engineer, Snowflake, Cloud, ETL, Analytics, SQL, Python, AWS, Terraform, DevOps, end-to,end More ❯

on high-impact projects with the latest Microsoft stack. Key Responsibilities Data Migration : Lead the transition from legacy Big Data platforms and code-based ETL processes into Azure , Dataverse , and Dynamics 365 environments. Data Integration : Bring together data from a variety of sources including SaaS platforms and internal systems, ensuring More ❯

SQL and data modelling skills Experience working in an Azure environment - exposure to Data Factory, Data Lake etc. Some Data Engineering experience such as ETL Excellent communication and stakeholder management skills Benefits: Salary up to around £65,000 depending on experience Generous bonus Generous pension Unlimited holidays Private healthcare Please More ❯

preferred 2-3 years experience working in a Consulting, Strategy, or Data Analytics role Demonstrated knowledge of Excel (advanced, will be tested), SQL (Postgresql), ETL pipelines, PowerBI (or other visualisation software). Strong communication and collaboration skills. Ability to translate and visualise data in a concise and accurate way thats More ❯

preferred 2-3 years experience working in a Consulting, Strategy, or Data Analytics role Demonstrated knowledge of Excel (advanced, will be tested), SQL (Postgresql), ETL pipelines, PowerBI (or other visualisation software). Strong communication and collaboration skills. Ability to translate and visualise data in a concise and accurate way thats More ❯

preferred 2-3 years experience working in a Consulting, Strategy, or Data Analytics role Demonstrated knowledge of Excel (advanced, will be tested), SQL (Postgresql), ETL pipelines, PowerBI (or other visualisation software). Strong communication and collaboration skills. Ability to translate and visualise data in a concise and accurate way thats 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 ❯

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 ❯

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 ❯

meet or exceed SLAs BASIC QUALIFICATIONS - 4+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing, and building ETL pipelines - Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting languages More ❯

and creators on a global scale. Learn more at BASIC QUALIFICATIONS - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience managing a data or BI team - Experience leading and influencing the data or BI strategy of your team or organization More ❯

an excellent understanding of AI/ML lifecycle management. Strong experience deploying and productionising ML models. Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies. Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight Skills with More ❯

as teamcity, Jenkins Have experience in containerization, Azure - Azure service bus, Function Apps, ADFs Possesses knowledge on data related technologies like - Data Warehouse, snowflake, ETL, Data pipelines, pyspark, delta tables, file formats - parquet, columnar Have a good understanding of SQL, stored procedures Be able to lead development and execution of More ❯

and data querying for data validation and testing purposes. Hands-on experience with Snowflake, Airflow or Matillion would be ideal. Familiarity with data integration, ETL processes, and data governance frameworks. Solid understanding of data structures, relational databases, and data modelling concepts. Excellent analytical and problem-solving skills with the ability More ❯

an excellent understanding of AI/ML lifecycle management. • Strong experience deploying and productionizing ML models. • Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies. • Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight • Skills with More ❯

with stakeholders and clients to understand reporting and analytics requirements. Challenge existing ways of working and design new solution requirements, with the BI Director. ETL/ELT of data from various sources. Drive efficiencies in how analytics services are delivered, through standardization and automation. Generate actionable, data-driven insights to More ❯

3+ years of experience with Python and high-performance data libraries such as Polars and Pandas. Proficiency with JavaScript, SQL, and KQL. Experience with Extract, Transform, Load (ETL), Data Streaming, and Reconciliation. Experience building and maintaining deployment pipelines, including DevOps tools like Ansible, and containerization with Docker. Proficiency with cloud More ❯

models and dashboards, ideally in Power BI. • Excellent verbal and written communication skills Technical Skills: • Familiarity with SQL Server. • Advanced SQL scripting. • Familiarity with ETL/ELT tools and experience navigating data pipelines. • Experience using scripting languages (e.g. Python, PowerShell etc.) to extract insights from file-based storage. • Familiarity with More ❯

Data Visualization tools such as Quick Sight/Tableau/Power BI or other BI packages. Experience creating complex SQL queries joining multiple datasets, ETL DW concepts. Experience defining requirements and using data and metrics to draw business insights. Experience with financial or business analysis. Experience in customer segmentation, customer 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 ❯