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Man Group

Senior Python Developer – Data Engineering


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    Tech Stack / Изисквания

    The Role

    We are seeking a highly motivated and experienced engineer to join the Data Engineering team within Man Platform Technology. You will have the chance to boost your career in a fast-paced and ambitious team that strives to create state-of-the-art tools for a range of data-related activities including onboarding, analysis, sourcing, quality checking, and lifecycle management. We don’t just have a standard data warehouse – our data estate is varied and highly optimised to deliver the needs of the business. Your challenges will be varied, involving:

    Developing and maintaining core tools for analysts, quants, and engineers to on-board and analyse datasets at multi-terabyte-scale.

    Collaborating with the Man Data Science team as we design and develop unique, bespoke solutions to solve their big data challenges.

    Designing and implementing strategies and tools to monitor and validate the data quality for thousands of datasets in use at Man Group.

    Working with front office engineering teams as they leverage our data platform.

    Discovering and leveraging best-in-market 3rd party tools and cloud technologies that can help to optimise the full data pipeline from scouting to trading.

    Our Technology

    Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. Within Data Engineering we use Dataiku, Snowflake, Prometheus, and ArcticDB heavily.

    We use Kafka for data pipelines, Apache Beam for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries.

    Working Here

    Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community.

    We host and sponsor London’s PyData and Machine Learning Meetups

    We open-source some of our technology. See https://github.com/man-group

    We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @ManQuantTech

    We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

    Technology and Business Skills

    We strive to hire only the brightest, best and most highly skilled, passionate technologists.


    Extensive programming experience, ideally in Python

    Knowledge of the challenges of dealing with large data sets, both structured and unstructured

    Knowledge of modern practices for ETL, data engineering and stream processing

    Proficient on Linux platforms with knowledge of various scripting languages

    Working knowledge of one or more relevant database technologies e.g. MongoDB, PostgreSQL, Snowflake, Oracle

    Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Spark, Jupyter


    Prior experience of working with financial market data or alternative data

    Relevant mathematical knowledge e.g. statistics, time-series analysis

    Experience in data visualisation and building web apps in modern frameworks e.g. React

    Experience with git

    Prior experience with AWS

    Personal Attributes

    Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university

    Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others

    Demonstrable passion for technology e.g. personal projects, open-source involvement

    Intellectually robust with a keenly analytic approach to problem solving

    Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities

    Focused on delivering value to the business with relentless efforts to improve process

    Strong interpersonal skills; able to establish and maintain a close working relationship with analysts, quantitative researchers, traders and senior business people alike

    Confident communicator; able to argue a point concisely and deal positively with conflicting views.