Data Engineer<ul><li>Salary Range: Up to £70k (based on candidate experience)</li><li>Employee Package: Excellent company benefits</li><li>Hybrid Model: Mostly remote (ad-hoc travel to London or Portsmouth expected 1-2 days a month)</li><li>Sector: Consulting</li></ul> About the Role:My client, a leading UK-based IT Services & IT Consulting organisation is seeking a Data Engineer to join their AI and Data practice. Your responsibilities database administration and the deployment, optimisation and the maintenance of the Starburst and installations allowing clients to access their data across various platforms. Key Responsibilities:<ul><li>The management and deployment of Trino/Starburst</li><li>The configuration of servers, applications and Parameters</li><li>Creating a unified data platform by integrating Starburst with other data sources</li><li>Troubleshooting any issues related to servers and providing root cause analysis</li><li>Providing Starburst administration and best practices training</li></ul> Candidate Technical Skills / Role Requirements:<ul><li>Demonstrable experience (5+ years) in a similar role</li><li>Strong knowledge of Big Data (Hadoop/Hive/Spark) and Cloud technologies</li><li>Strong experience working with Trino/Starburst/CLI</li><li>Prior programming experience with Python or Java</li><li>Unix/ Linux experience</li><li>Certification: Starburst Certified Practitioner.</li><li>Data requirements knowledge for AI</li></ul> To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy

Senior Data Engineer<ul><li>Salary Range: Up to £90k (based on candidate experience) </li><li>Employee Package: Excellent company benefits </li><li>Hybrid Model: Mostly remote (ad-hoc travel to London or Portsmouth expected 1-2 days a month) </li><li>Sector: Consulting</li></ul> About the Role: My client, a leading UK-based IT Services & IT Consulting organisation is seeking a Data Engineer to join their AI and Data practice. Your responsibilities will include the deployment, optimisation and the maintenance of the Starburst and Dell Data Lakehouse installations allowing clients to access their data across various platforms. Key Responsibilities: <ul><li>The management and deployment of Trino/Starburst</li><li>The configuration of servers, applications and Parameters</li><li>Creating a unified data platform by integrating Starburst with other data sources</li><li>Troubleshooting any issues related to servers and providing root cause analysis</li><li>Providing Starburst administration and best practices training</li></ul> Candidate Technical Skills / Role Requirements: <ul><li>Demonstrable experience (7+ years) in a similar role</li><li>Strong knowledge of Big Data (Hadoop/Hive/Spark) and Cloud technologies</li><li>Strong experience working with Trino/Starburst/CLI</li><li>Prior programming experience with Python or Java</li><li>Unix/ Linux experience</li><li>Certification: Starburst Certified Practitioner.</li><li>Data requirements knowledge for AI</li></ul> To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy

About ValorValor Real Estate Partners LLP (“Valor”) is a pan-European industrial platform, headquartered in London, focused on urban/infill industrial and logistics properties in the UK, France, Germany and the Netherlands. Founded in 2016, Valor is a full-service development management and investment business with offices in London and Paris and c. €3.5bn AUM. Valor Real Estate Partners, the real estate industrial and logistics specialist, is seeking a Data Engineer to sit within the Investment team. About Research Our Research & Strategy team works closely with our private equity firm partners, operating as an extension of their deal teams to craft investment thesis, uncover trends and themes; evaluate investment opportunities across EMEA. We are seeking a data engineer to create and manage the technological part of data infrastructure, who is forward-thinking, analytical, passionate about investment and real estate, and thrive in a team oriented, collaborative environment. Primary Responsibility: <ul><li>Data mining and assembling large, complex sets of data from external and internal sources, including managing data feeds through APIs and scripting</li><li>Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes</li><li>Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies, participate in data migration projects</li><li>Building analytical tools (i.e leveraging Tableau) to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and fund capital deployment</li><li>Ensure data quality and accuracy by implementing data quality checks, and data governance processes</li></ul> Secondary Responsibility:<ul><li>Synthesizing information and translating it into key insights that support investment decision making</li><li>Assisting Research in maintaining strategic models and updating presentations, as well as supporting Investment teams with ad-hoc deal-related requests and presentations.</li><li>Actively contributing to various projects and activities within the research team as a committed team player.</li></ul> Requirements and skills<ul><li>Data Science, Computer Science, Engineering / mathematical / analytical background</li><li>2 Years experience as a data engineer or in a similar role</li><li>Proficiency in programming and data engineering tools, including SQL, Python/R</li><li>Experience with Geospatial tools such as QGIS</li><li>Experience with BI tools such as Tableau</li><li>Structured and Critical Thinking & Analytical: breaks down complex problems and solves them in creative ways is a must</li><li>Proficient in MS Word, Excel and PowerPoint</li><li>Familiarity with data warehousing concepts, understanding of Snowflake, AWS etc.</li><li>Understanding of business requirements and spotting opportunities to innovate. Willingness to step out of comfort zone and learn modern data engineering practices and trends.</li><li>Impeccable attention to detail</li><li>Self-starter with ability to multi-task and efficiently manage time and workload</li></ul> Application ProcessPlease send your CV to recruitmentuk@valorrep.com (applications will be assessed on a rolling basis). Candidates that meet the requirements will be invited to complete various assessments from home before being invited to interview. Based: LondonSalary: CompetitiveStart: ASAPWebsite: www.valorrep.com

Data Engineer – AWS, Python, SQL – Private EquityLocation: Central London (On-site)Salary: £50,000 - £60,000 + Private equity bonus 5 days. How long it takes to migrate the first datasets into the cloud and unlock insights that fuel multimillion-dollar investment decisions. 1 month. How quickly you could start making a tangible impact by building scalable data pipelines that drive business growth. As a Data Engineer in this role, your work will play a pivotal part in transforming how data is managed, delivered, and analysed, enabling a market-leading private equity real estate platform to scale its business 3x. What’s the role?You’ll join a forward-thinking team united by one objective: to empower data-driven decision-making for investment strategies across Europe. Everyone contributes to shaping this success, and your role will focus on developing robust, scalable data solutions.Ready to be part of a transformative journey? A leading private equity real estate platform is scaling up its pan-European industrial and logistics operations, and we need a skilled Data Engineer to drive this growth. Your Focus <ul><li>Build and optimise data pipelines using AWS, SQL, and Python.</li><li>Clean, structure, and map data (e.g., building IDs, cash flows) to drive analysis.</li><li>Automate manual processes and integrate data from multiple sources.</li><li>Maintain data quality, governance, and structure across the business.</li><li>Support strategic decisions using analytics tools like Tableau and QGIS.</li></ul> What We’re Looking For Education:<ul><li>Degree in Computer Science or a related field from a leading institution.</li></ul> Experience:<ul><li>Proficiency in SQL, Python, and data engineering concepts.</li><li>Experience in data mining, cleaning, and managing data warehouses.</li><li>Familiarity with cloud platforms (GCP, AWS, or Azure) and Snowflake is a plus.</li><li>A background in technology consulting or data engineering is advantageous.</li></ul> Why Join Us?<ul><li>Make an Impact: Be instrumental in building the data infrastructure from scratch, directly influencing high-stakes investment decisions.</li><li>Professional Growth: Opportunities to apply advanced analytical models and grow rapidly in a meritocratic environment.</li><li>Dynamic Culture: Fast-paced, collaborative team with varied, engaging responsibilities and cross-functional exposure.</li><li>Attractive Benefits: Competitive salary, private equity bonus, and involvement in meaningful long-term projects (3–5 years).</li><li>Industry Prestige: Work alongside senior leaders, including the CIO, on critical research, transactions, and strategy in a high-growth private equity environment.</li></ul> Start Date: January 2024 Ready to shape the future of real estate investment through data? Apply today and make your mark in this transformative role!

MRJ Recruitment is partnering with a high-growth startup revolutionising the service industry with an AI-powered platform that’s reshaping appointment management and customer relationships. Having already turned heads in the tech world, they’re now entering an exciting phase of growth—and they need a talented Senior Data Engineer like you to make it happen. The Role???? 4 days in Central London???? £70k–£120k (DOE) Join the mission to migrate data from legacy systems to a cutting-edge, high-performance platform—one of the company’s biggest technical challenges to date. Reporting directly to the CTO, you’ll take charge of multiple projects, ensuring a seamless migration that paves the way for exponential growth. Why Join? <ul><li>Play a pivotal role in driving innovation for a purpose-driven startup.</li><li>Work alongside a passionate, forward-thinking team shaping the future of the service industry.</li><li>Make a tangible impact on a platform set to revolutionize customer experiences.</li></ul> What are some of the key skills you’ll need to succeed? <ul><li>Data Migration Mastery: Proven ability to handle large-scale dataset migrations , ensuring integrity</li><li>Pipeline Optimisation: Comfortable designing, building, and refining data pipelines for efficient workflows.</li><li>Advanced SQL Proficiency: Deep knowledge of SQL for complex data analysis, reporting, and database management.</li><li>Programming Excellence: Skilled in Python and Scala for data manipulation, processing, and application development.</li><li>Database Specialisation: Hands-on experience with PostgreSQL for robust and scalable data storage solutions.</li><li>Big Data Expertise: Proficient in using Apache Spark for processing and analysing massive datasets.</li><li>AI/ML Integration: Adept at leveraging artificial intelligence and machine learning to drive data-driven insights and automation.</li></ul> Altogether, it’s an excellent opportunity to join a company passionate about creating positive change across their industry. With a culture built on making a difference, they’re open and enthusiastic about finding someone who shares their passion – Sound like that could be you? Apply now and we’ll guide you through the process so you’re being represented as best you can be!

Get stuck in immediately to a database migration using Snowflake. This company work across various energy and commodities markets across the world. We appreciate that not everyone wants to work within Oil and Gas trading, however, part of the role of the data team is to look at more sustainable options for trading all kinds of commodities products. You’re going to be getting involved with a number of newly launched data projects, with your initial project being to work on this migration. You’ll face off with the business (Heads of Desk, Traders, Analysts), understanding what they need, discussing solutions with the Data Science team, then building out the best solution possible, whether it be with an off the shelf product, or building it completely from scratch using primarily Python and SQL. The data team has grown over the past 12-18 months, with data engineering still being built out in London. There’s a strong opportunity to take on leadership responsibilities, so if management is in your sights and ambitions, you’ll be able to achieve that here. The team are using more advanced technology as time goes on and you’ll be able to suggest potential tools to use. Snowflake is one of the examples of this, as it’s recently been brought into the team on suggestion of one of the team and is now being widely used. Alternatively, if there’s a ready customised tool within AWS that you feel is a better option, then you can use that. There really is plenty of technical freedom here. In terms of your technical experience you’ll need to have worked in a commercial data engineering role for a few years, this is a mid-level position. Strong Python, Snowflake and SQL experience will be required and any experience of working with tools like Docker/Kubernetes and AWS would be a huge preference. Commodities experience/knowledge is not required but would be a plus. This is a global commodities firm with a strong history of performance and revenue. Your starting salary will be up to £130,000 plus a performance related bonus. Benefits include medical, dental and life insurance, wellness programs, pension, generous parental leave and various other perks. Want to make sure data has an impact on the future of commodities trading? Get in touch. No up-to-date CV required.

THE ROLE:At Fit Collective, we’re on a mission to revolutionize how our customers experience fit insights in the fashion industry. We’re looking for a passionate Data Engineer to take the helm in our growing team. If you thrive in a collaborative environment and are excited to lead complex projects while tackling innovative challenges, we want to hear from you! THE PRODUCT:Fit Collective’s product is advanced analytics using AI and machine learning with a low code front end. In the next 12 months, we will be building our shopify app that automates website updates based on manufacturing data.We currently use the following - experience working with these is preferred: OpenAI, Docker, AWS Fargate, Airbyte, Python, Scikit-learn, AWS S3, AWS RDS, DuckDB, PostgreSQL. What You’ll Do:<ul><li>Establish and maintain reliable data pipelines: Building and maintaining pipelines for data ingestion from various sources, ensuring data is cleaned, transformed, and ready for use. Mapping data from different schemas into a consistent structure.</li><li>Collaborate Across Teams: Work closely with BI analysts, product managers, and designers to define and refine product requirements, ensuring seamless integration and functionality.</li><li>Optimize Performance: Identify and fix bottlenecks to ensure high performance and responsiveness of applications, driving quality and efficiency across the board.</li><li>Implement Best Practices: Champion coding, testing, and deployment best practices to ensure high-quality deliverables.</li><li>Shape Our Architecture: Contribute to architectural decisions by making informed choices about technology and design patterns that align with our goals.</li></ul> What We’re Looking For:<ul><li>Self Starter: If you are a motivated self starter, who is confident working independently and excited to build and lead the engineering side of a startup, this role is for you!</li><li>Start-Up or Side Hustle Experience: Demonstrated ability to build products or services from the ground up, showcasing innovative problem-solving skills and an entrepreneurial mindset.</li><li>Experience: A minimum of 5 years of experience in back-end development, with some experience in a leadership role, ideally in a SaaS environment, plus excellent communication skills.</li><li>AI first: Using and up to date with cutting edge AI to stay at the forefront of engineering efficiency, prototyping and product development</li><li>Technical Skills: Proficiency in Python, preferably experience with the other elements of our tech stack (see production section above)</li><li>Database Knowledge: Strong understanding of database technologies such as PostgreSQL, MySQL, or MongoDB, with the ability to design and optimize queries.</li><li>API Development: Experience building and consuming RESTful APIs, with a solid understanding of API design principles.</li><li>Cloud Experience: Familiarity with cloud platforms (AWS is ideal) and a strong grasp of CI/CD practices.</li><li>Problem-Solving Mindset: A knack for identifying problems and crafting effective solutions that balance technical and business considerations.</li><li>Team Player: Excellent communication skills, with the ability to work collaboratively across various teams and contribute positively to our team culture.</li><li>Passion for Learning: A desire to stay updated with the latest industry trends and technologies, eager to bring fresh ideas to the table.</li></ul> Overview:<ul><li>Location: UK-based individual</li><li>Work Style: Hybrid (4-8 days per month in the office in London)</li><li>Employment Type: Full-Time</li><li>Salary: £70K/year depending on experience</li><li>Equity via employee share option scheme</li></ul> Why Fit Collective?We’re not just looking for a Data Engineer; we’re looking for someone who is excited to make a difference. Join us in creating a friendly, innovative, and high-performing culture where your contributions will have a real impact on our mission and our customers.If you’re ready to dive into an exciting role where your skills will shine and grow, we can’t wait to meet you! About Us:In a trillion-dollar industry where the fit of clothing makes or breaks every sale, we stand out by addressing the root cause of the problem—variance pre-production. Poor fit, responsible for 70% of returns and putting almost a trillion dollars of revenue at risk, generates 4 billion pounds of textile waste annually and contributes to 10% of global carbon emissions.At Fit Collective, we prevent poor fit at the source, before an item is even made. Our unique insight into the fashion supply chain enables us to use machine learning and generative AI to simulate, predict, and ultimately prevent bad fits from being created.Changing fit from human subjectivity to data-backed science, we increase conversion, create loyal customers, reduce returns, and significantly lower waste. By tackling these inefficiencies, we empower the fashion industry to cut emissions and textile waste, driving real progress toward sustainability.We are building the Fit Operating System for tomorrow's fashion supply chain. Journey with us as we fix fit, ensure happier customers, enhance sales, and transform fashion into a sustainable and efficient industry. Let’s reshape the future of fashion together.

Data Engineer Jobs in Greater London, England

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Data Engineer Jobs in Greater London, England

Data EngineerDecember 6, 2024

Senior Data EngineerDecember 6, 2024

Private Equity Jr Data EngineerDecember 2, 2024

Data Engineer Python Sql Private EquityDecember 2, 2024

Senior Data EngineerDecember 1, 2024

Senior Data Engineer Pythonsnowflake Commodities Trading 130000 Salary BonusDecember 1, 2024

Data EngineerDecember 1, 2024