Level

Man Group

Data Engineer

Man Group is hiring a Data Engineer in Sofia, Bulgaria. Level rates it ; you can apply on Level.

AI in this role

Data Engineer to build robust data ingestion frameworks, manage data lakehouse content, and support investment management teams.

data-engineeringdata-governancedata-ingestiondata-lakehousedata-analysis

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 $253.6 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

At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here.

* As at 30 June 2026

The Team

The Data Management team, part of the Data & Machine Learning group within Man Technology, spans across London and Sofia. The team is responsible for the management and maintenance of Man's security master content, and the onboarding of production data (e.g. reference, alternative, ESG, market data etc). 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.

As a Data 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.

You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

Role Responsibilities

  • Provide first-level data support to portfolio managers, researchers, traders, engineers, and data scientists across the firm
  • Lead the onboarding and integration of a broad range of financial and alternative datasets, while owning and enhancing security master content and identifier mapping tools to ensure accuracy and consistency across systems
  • Design, build and support ETL pipelines using industry-standard and proprietary technologies; define and optimise data models, schemas, and infrastructure with engineering teams
  • Proactively identify and resolve data quality issues before they impact downstream users, drive data quality management with engineering
  • Curate and maintain a metadata catalogue and knowledge base, and identify opportunities to automate routine tasks and workflows
  • Support broader Data Management responsibilities including market data operation, metadata management and AI governance as required


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
  • Embracing agentic engineering — willingness and ability to work effectively with AI-assisted development tools as part of daily workflow

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


Benefits  

  • Modern office located in the OfficeX campus with easy access to transport and amenities.
  • Hybrid working model
  • Competitive compensation package
  • 25 days holiday allowance
  • Premium Health insurance
  • Employee Assistance program
  • Referral Bonus
  • Additional days off for long service and volunteering
  • Multisport card
  • Opportunities for professional development including internal tech talks
  • Conference attendance, and engagement with the open-source community

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 TalentAcquisition@man.com.

 

How we rate this

Data Engineer at Man Group rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data EngineeringData GovernanceData IngestionData LakehouseData Analysis

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where data governance was part of your work. What did you do?
  3. Tell me about a project where data ingestion was part of your work. What did you do?
  4. Tell me about a project where data lakehouse was part of your work. What did you do?
  5. Tell me about a project where data analysis was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Data Governance, Data Ingestion, Data Lakehouse, and Data Analysis. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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