Data Engineer - Data Management at Man Group

Sofia, Sofia-City, Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Ingestion, Data Management, Data Analysis, Python, SQL, ETL Pipelines, Data Modeling, Data Quality Management, Security Master Content, Identifier Mapping, Metadata Catalogue, Automation, Financial Data, Alternative Data, Stakeholder Management, Data Lakehouse

Industry

Investment Management

Description

Job Application for Data Engineer - Data Management at Man GroupSofia About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $213.9 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 30 September 2025 As a Data Management Engineer, you will use your technical and business skills to onboard and support data that is used across our investment management teams. On some projects you will act as a subject matter expert, providing support and delivering high quality data analysis and quality assurance. You will be working in a team that is responsible for investment data governance including data ingestion, financial and alternative data quality assurance, security master content and data lineage. The team is dedicated to creating a better data experience for our investment teams and entails learning the details of various vendor data sources we use. The role offers ample chances to create a distinctive mark in our ongoing efforts to improve Man’s investment data estate by building a state-of-the-art data platform and central data operation. The Team The Data Management team, part of the Data &Machine Learning group within Man Technology, spans across London &Sofia. You are responsible for the management and maintenance of Man’s security master content, identifier mapping capabilities, onboarding of production data (e.g. reference, alternative, ESG, market data etc.), data cleansing infrastructure, usage analysis and governing market data permissions. The team strives to contribute towards building a robust data ingestion and management framework, including onboarding raw vendor data into a data lakehouse, performing data analysis, building data dashboards, and implementing an optimised on-going data management process. Working Here The team has a start-up, no-attitude feel. It has a flat-structured, open, transparent, and collaborative environment, providing plenty of opportunities to grow and have enormous impact on what we do. We are actively engaged with the broader data and technology community. Responsibilities Provide first-level data support to portfolio managers, researchers, traders, engineers, and data scientists across the firm. Lead on the onboarding and integration of varied financial and alternative datasets. Design and build ETL pipelines using industry-standard and proprietary technologies; define and optimise data models, schemas, and workflows with engineering teams. Proactively identify and resolve data quality issues before they impact downstream users, drive data quality management with engineering. Own and enhance security master content and identifier mapping tools, ensuring data accuracy and consistency across systems. Manage market data permissions, improve usage tracking, analyse usage patterns, and optimise cost attribution and charge models. Curate and maintain a metadata catalogue and knowledge base, and drive any possible automation of daily tasks. Key Competencies Essential Experience with data ingestion, management and analysis, preferably in financial industry. Strong proficiency in Python and SQL. Expertise in ETL tools and technologies. Exceptional attention to detail with demonstrated ability to own and deliver high-quality analysis, showing strong analytical mindset and accountability for results. Strong written and verbal communication skills. Advantageous Working knowledge of data modelling, data lakehouse, Linux / UNIX, Git, Jira is preferable. Familiarity with one or more relevant database technologies e.g. Apache Iceberg, PostgreSQL, Snowflake, etc. Experience working with large and unstructured datasets. Hands-on experience with financial data vendors and understanding of market data structures. Stakeholder management skills with proven ability to work effectively across different teams and seniority levels internally and externally. Personal Attributes Strong academic record and higher education degree with high mathematical and computing content e.g. computer science, mathematics, finance. Hands-on attitude; willing to get involved with data and projects across the firm. Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities. Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, technologists, traders and senior business people alike. Confident communicator; able to argue a point concisely and deal positively with conflicting views. Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Responsibilities

Responsibilities include providing first-level data support to various investment teams, leading the onboarding and integration of diverse financial and alternative datasets, and designing/building ETL pipelines. The role also involves proactively resolving data quality issues and owning enhancements for security master content and identifier mapping tools.