City of London, London, United Kingdom Hybrid/Remote Options
Oscar
Tableau (or similar BI tools). Good working knowledge of Python for data manipulation and analysis. Experience working with cloud platforms (Azure or AWS). Desirable Skills: Knowledge of ETL processes and data warehousing concepts. Familiarity with financial data, risk, or regulatory reporting. Strong communication skills with the ability to explain data insights to non-technical audiences. What We Offer More ❯
Tableau (or similar BI tools). Good working knowledge of Python for data manipulation and analysis. Experience working with cloud platforms (Azure or AWS). Desirable Skills: Knowledge of ETL processes and data warehousing concepts. Familiarity with financial data, risk, or regulatory reporting. Strong communication skills with the ability to explain data insights to non-technical audiences. What We Offer More ❯
and maintain the data pipelines and infrastructure that power AI-driven features and business intelligence, handling millions of events and requests daily. Key Responsibilities: Design, build, and maintain reliable ETL/ELT pipelines to support analytics, ML models, and business intelligence Develop scalable batch and streaming data pipelines to process millions of events and transactions daily Implement workflow orchestration using More ❯
and maintain the data pipelines and infrastructure that power AI-driven features and business intelligence, handling millions of events and requests daily. Key Responsibilities: Design, build, and maintain reliable ETL/ELT pipelines to support analytics, ML models, and business intelligence Develop scalable batch and streaming data pipelines to process millions of events and transactions daily Implement workflow orchestration using More ❯
years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Singular Recruitment
years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD More ❯
code and/or modifying flows. Drive initiatives for new data collection while refining existing data sources. Ensuring the highest standards of data integrity, accuracy, and reliability. Troubleshoot existing ETL pipelines and work with partners to resolve them in a timely manner. Develop and update technical documentation. Manage conflicting priorities and multiple projects concurrently. Desired Skills & Qualifications Bachelor’s degree More ❯
code and/or modifying flows. Drive initiatives for new data collection while refining existing data sources. Ensuring the highest standards of data integrity, accuracy, and reliability. Troubleshoot existing ETL pipelines and work with partners to resolve them in a timely manner. Develop and update technical documentation. Manage conflicting priorities and multiple projects concurrently. Desired Skills & Qualifications Bachelor’s degree More ❯
data engineering using Azure, Databricks, SQL, and Azure Data Factory, including medallion architecture. Proven leadership in guiding teams through complex data deliveries and adopting best practices. Strong background in ETL orchestration and hybrid cloud integration. Hands-on experience with Power BI and DAX, building dashboards that drive actionable insights. Excellent communication skills, with the ability to translate technical concepts into More ❯
data engineering using Azure, Databricks, SQL, and Azure Data Factory, including medallion architecture. Proven leadership in guiding teams through complex data deliveries and adopting best practices. Strong background in ETL orchestration and hybrid cloud integration. Hands-on experience with Power BI and DAX, building dashboards that drive actionable insights. Excellent communication skills, with the ability to translate technical concepts into More ❯
South East London, London, United Kingdom Hybrid/Remote Options
Stepstone UK
a team what to do, run some whiteboard design sessions (realising you've used a permanent marker, you quickly leave the room) Qualifications Data Warehousing, Data Modelling, Database Design, ETL AWS Redshift, AWS Glue, S3, SQL Server, Power BI Cloud/DevOps AWS, Docker, Terraform Bitbucket, Bamboo, CI/CD deploy pipeline Agile, pair programming, code reviews Additional Information Were More ❯
manage competing priorities effectively. Confident decision-maker with strong problem-solving and communication skills. Adaptable and proactive in a fast-paced, global environment. Desirable Technical understanding of data engineering, ETL, or cloud data architecture. Experience working within a legal, regulated or enterprise environment. Exposure to large data platform migrations or modernisation programmes #LI-JC1 Norton Rose Fulbright US LLP is More ❯
and translate these into technical solutions that align with business objectives. Manage and optimize data storage and retrieval systems to ensure performance and cost-effectiveness. Develop, maintain, and document ETL/ELT processes for data ingestion, transformation, and loading using industry best practices. Ensure data security and compliance, particularly within the context of financial data, adhering to relevant regulations and … Solid experience with cloud platforms (e.g., AWS, Azure, or GCP), and their data services. Deep understanding of data warehousing concepts and technologies (e.g., Snowflake, Redshift). Strong knowledge of ETL/ELT processes and tools. Solid experience of utilising PowerBI or similar visualisation tools Experience working with big data technologies and frameworks (e.g., Spark) Excellent problem-solving skills and a More ❯
and translate these into technical solutions that align with business objectives. Manage and optimize data storage and retrieval systems to ensure performance and cost-effectiveness. Develop, maintain, and document ETL/ELT processes for data ingestion, transformation, and loading using industry best practices. Ensure data security and compliance, particularly within the context of financial data, adhering to relevant regulations and … Solid experience with cloud platforms (e.g., AWS, Azure, or GCP), and their data services. Deep understanding of data warehousing concepts and technologies (e.g., Snowflake, Redshift). Strong knowledge of ETL/ELT processes and tools. Solid experience of utilising PowerBI or similar visualisation tools Experience working with big data technologies and frameworks (e.g., Spark) Excellent problem-solving skills and a More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Higher - AI recruitment
based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps and performance monitoring. Design and build robust, scalable ETL/ELT pipelines to ingest large volumes of data from APIs, web scraping, and multiple data sources. Own the scalability, reliability, and best practices of Atmospheric AI’s data infrastructure. More ❯
based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps and performance monitoring. Design and build robust, scalable ETL/ELT pipelines to ingest large volumes of data from APIs, web scraping, and multiple data sources. Own the scalability, reliability, and best practices of Atmospheric AI’s data infrastructure. More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Searchability
Practitioner . Experience working in cloud environments (GCP, AWS, or Azure). Previous exposure to data engineering, AI , or machine-learning teams . Familiarity with data and analytics technologies (ETL tools, data warehouses, dashboards). TO BE CONSIDERED... Please either apply online or email me directly at .By applying for this role, you are giving express consent for us to More ❯
experience, and data quality - helping to drive data-led decision-making across the organisation. What You'll Bring:* Advanced Qlik expertise (scripting, set analysis, data modelling) * Strong SQL andETL skills with solid data warehousing knowledge * Proven experience leading BI and data visualisation projects * Ability to translate business needs into analytical solutions * Experience in insurance or financial services (preferred) Key More ❯
125k + Bonus About the Role : Build and operate data pipelines and analytics platforms in the cloud. Work with engineers and analysts to design, implement, and maintain reliable, observable ETL/ELT workflows using Airflow and managed cloud services. Focus on Python-first implementations, high-quality SQL, Airflow orchestration, and query engines such as Athena, Trino, or ClickHouse. Required Skills More ❯
125k + Bonus About the Role : Build and operate data pipelines and analytics platforms in the cloud. Work with engineers and analysts to design, implement, and maintain reliable, observable ETL/ELT workflows using Airflow and managed cloud services. Focus on Python-first implementations, high-quality SQL, Airflow orchestration, and query engines such as Athena, Trino, or ClickHouse. Required Skills More ❯
improving data quality and governance. Working directly with PMs, analysts and tech to deliver data-driven solutions. Tech you'll use: PowerShell, SQL, Python, Snowflake, Power BI, APIs, GitHub, ETL tools (dbt/Matillion), Bloomberg/SimCorp data. Perfect for someone who enjoys both engineering and the business impact of their work. More ❯
improving data quality and governance. Working directly with PMs, analysts and tech to deliver data-driven solutions. Tech you'll use: PowerShell, SQL, Python, Snowflake, Power BI, APIs, GitHub, ETL tools (dbt/Matillion), Bloomberg/SimCorp data. Perfect for someone who enjoys both engineering and the business impact of their work. More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Sanderson
a Fabric Data/BI Engineer to help create and drive analytics solutions. BI/Data Engineer, key skills: Microsoft Fabric experience Proven data engineering experience - setting up complex ETL processes with ADF pipelines Data visualisation and reporting using PowerBI Data modelling experience - conceptual, logical and physical Proficient in SQL Extensive experience with Microsoft cloud stack Data Engineer, BI Engineer More ❯
