5 Data Engineer Jobs in the City of London

TL;DR 🧢 Role | *Senior Data Engineer* 💫 Company | InsurTech, Scale-up, Data 📏 Size | c.100 🎯 Areas | Data Pipelines, ETL, Cloud Infra, DataOps, Data Models, Machine Learning ✨ Tech | Python, ETL, SQL (all flavours), GCP 📍 Based | London (Zone 1) 💻 Hybrid | 2 days a week in-office 💰 Offer | Up to … over half a billion $ in funding. 2024 is the year they 10x their client base. That's where you come in... 💥 As a *Senior Data Engineer* you will: be designing and developing complex data processing modules ranging from ETL to ML, working closely with the firm's … core algo team, who are developing the machine learning models that underpin the value my client provides to its customers collaborate with data scientists and engineers to design, build, optimise and maintain production grade data pipelines to feed the company's core algos create frameworks, infrastructure and systems more »

Lead Data Engineer (Azure/SQL) - London - £70k 2-3 days per week in office My client is looking for a Data Lead to take responsibility for the technical design and implementation of data integration projects using Azure and Integration Services. Core duties will include technical … of the team whilst ensuring the overall performance of the solutions utilising the latest technologies, processes and best practice. You will design and build data pipelines, ETL processes and data workflows that enable data to be transferred seamlessly across a variety of platforms Required Skills: - Demonstrable experience … in designing and deploying Azure Integration Services solutions - Proven experience of building data solutions and products in Azure - Data pipelines - SQL knowledge - Agile/Scrum Lead Data Engineer (Azure/SQL) - London - £70k 2-3 days per week in office In accordance with the Employment Agencies more »

Data Engineer - Crypto As a Data Engineer, are you ready to shape the future of finance in a dynamic, research-driven crypto technology company? Do you want to join a fast-paced VC backed organisation promoting a strong start-up culture as a Data Engineer … Their founders come from backgrounds working in successful start-ups combining experience from Y-Combinator, FAANG and top London Universities. We are seeking a Data Engineer with advanced analytical skills and a profound passion for research and technology. Experience in analytical, research, quantitative roles, or algorithmic trading and … a keen interest in Crypto is essential. Join us in our mission to drive innovation and efficiency within decentralized networks. Your Role as a Data Engineer: Extend and improve internal and external monitoring suites (post-trade/post-block analytics) Close collaboration with the engineering team on deployment more »

Harnham's engineering contract team is looking for multiple Data Engineers for our leading FTSE 100 client for their digitalization project. THE ROLE Throughout this role, you would work with a wider team helping migrate a number of data applications over to GCP/BigQuery. For this role … for a contractor with experience in some of the following areas YOUR SKILLS AND EXPERIENCE SQL/Python programming skills BigQuery/GCP experience Data Pipelines CI/CD pipelines in Terraform Experience with Data Modelling Experience with personalization projects would be a big bonus This is a more »

Data Engineer London - Hybrid working £55,000 - £60,000 A global leading HR staffing organisation based in London is currently looking to recruit a Data Engineer who will play a crucial role in designing, developing, and maintaining the data infrastructure that powers innovative solutions within … the client. We require an engineer who has a passion for data and has a good background in Azure, synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/… governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with cross-functional teams to understand data requirements and design efficient data pipelines. Develop and maintain scalable data models and databases. Design and implement data integration and ETL more »