4 of 4 Remote Lead Data Engineer Jobs in London

Lead Data Engineer - Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey OB have partnered with a leading scale-up business in the AdTech space, where Data is at the forefront of everything they do, and they are currently hiring for a Lead Data Engineer to join their team and work on the development … of their Data platform. This will be a hands-on role but you will line manage a small team of 3 Engineers, where the long-term plan of this team is to grow and this is a great opportunity to progress in a scaling business. This role requires candidates to come with hands on experience working in Data heavy environments, with Real-Time Data Pipelines, Distributed Streaming Pipelines and strong knowledge of Cloud Environments. Lead Data Engineer - Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey Key Skills and Experience: Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey Prior experience working as a Lead Engineer or Tech Lead Pays £100k-£130k More ❯

Lead Data Engineer, Snowflake, 4 months, Remote, CO7368 A leading software consultancy requires a Lead Data Engineer/Tech Lead with strong Snowflake skills - for the next 4 months with the likelihood of significant extension - to provide technical leadership for a prestigious client project to deliver an innovative data platform. Working remotely … and outside of IR35, the Snowflake Lead Data Engineer/Tech Lead will actively work on delivering the technical solutions whilst carrying out code reviews, setting best practices, ensuring code quality, keeping everyone aligned from a technical standpoint, and fostering good communication and collaboration. This will involve: Working with the project owner to gather ongoing requirements … from the client Improving the transparency and traceability of data through well-documented pipelines and clear data lineage. Empowering internal teams with cleaner, structured data, reducing dependence on tribal knowledge and manual interventions. Enabling future scalability by establishing robust, modular foundations Experience Required: Snowflake expertise Solid data engineering expertise including strong SQL and Python Proficiency in More ❯

Proven experience working as a principal or lead data engineer * Strong background working with large datasets, with proficiency in SQL, Python, and PySpark * Experience managing and mentoring engineers with varying levels of experience I'm currently working with a leading insurance broker who is looking to hire a Lead Azure Data Engineer on an … initial 12-month fixed-term contract, with strong potential for extension. This is a great opportunity for an experienced Data Engineer to take on a leadership role, mentoring a small team of junior engineers while playing a key part in driving the development of an Azure-based data lakehouse. Key requirements: * Proven experience working as a principal … or lead data engineer * Strong background working with large datasets, with proficiency in SQL, Python, and PySpark * Experience managing and mentoring engineers with varying levels of experience * Hands-on experience deploying pipelines within Azure Databricks, ideally following the Medallion Architecture framework Hybrid working: Minimum two days per week on-site in London. If this sounds like something More ❯

LEAD DATA ENGINEER £80,000 - £90,000 - LONDON Company Our client is a global leader in data and analytics , working with major brands across 90+ markets. They combine deep industry expertise, vast datasets, and advanced technology to help businesses understand people and drive smarter decisions. The company is backed by a top-tier private equity firm … and is currently investing heavily in its data and technology platforms, offering the feel of a scale-up within a global business. Role As a Lead Data Engineer , you'll take ownership of designing, maintaining, and evolving the data pipelines that power large-scale analytical and machine learning models. You'll work closely with Data Scientists, Analysts, and Software Engineers to deliver robust, scalable data infrastructure. The focus areas include building and optimising pipelines for survey data, improving anti-fraud models, and supporting new data science initiatives.You'll manage two mid-level engineers, providing technical direction, mentoring, and helping the team refine ways of working. The role is hands-on and More ❯