Jefferies Financial Group

Senior Data Engineer - Reference Data (Assistant Vice President) London, United Kingdom Job Description Jefferies is looking for a highly experienced Senior Data Engineer to join the Reference Data Group within our Technology division. You will play a key role in designing, building, and managing the firm's critical reference data platforms - including Security Master, Account Master, and Counterparty Master - which underpin trading, risk, compliance, and operations across the firm. This is a high-impact, hands on engineering role. You will work closely with business stakeholders, data consumers, and cross functional technology teams to deliver robust, scalable, and well governed data pipelines and platforms on modern cloud infrastructure. Reference Data at Jefferies is foundational - the data you build and manage powers trading systems, regulatory reporting, risk models, and client facing applications globally. About the Team The Reference Data Group is responsible for the authoritative master data for securities, accounts, and counterparties at Jefferies. The team manages end to end data ingestion from vendors and internal systems, normalization, golden record creation, and distribution to downstream consumers across the firm. We operate on a modern cloud native stack centered on Snowflake, AWS, and Apache Airflow, and follow engineering best practices including CI/CD, code review, and automated testing. Key Responsibilities Design, build, and maintain scalable data pipelines for Security Master, Account Master, and Counterparty Master using Python and Apache Airflow. Develop and optimize complex data transformations, stored procedures, and views in Snowflake, ensuring high performance and data quality. Own the end to end lifecycle of reference data - from source ingestion and normalization through golden record creation and downstream distribution. Collaborate with data consumers across trading, risk, compliance, and operations to understand requirements and deliver reliable data products. B uild and maintain infrastructure as code and deployment pipelines using AWS services, Git, and CI/CD tooling. Implement data quality frameworks, lineage tracking, and monitoring to ensure the accuracy, completeness, and timeliness of reference data. Participate in design and code reviews, contribute to engineering standards, and mentor junior engineers. Work with vendors and external data providers (e.g. Bloomberg, Refinitiv) to onboard and manage data feeds. Contribute to platform modernization initiatives and help drive adoption of best practices across the team. Troubleshoot production data issues, perform root cause analysis, and implement preventative measures. Required Skills and Experience Required: 7+ years of hands on data engineering experience Expert level Python for data engineering and automation Strong Snowflake experience - SQL, stored procedures, streams, tasks, and performance tuning Production experience with Apache Airflow - DAG design, scheduling, dependency management Solid AWS cloud experience - S3, Lambda, Glue, IAM, or equivalent services Proficient with Git, branching strategies, pull requests, and code review workflows Experience with CI/CD pipelines - GitHub Actions, Jenkins, or equivalent Strong understanding of data modelling - dimensional, relational, and hub spoke patterns Experience building and operating production grade data pipelines at scale Financial services experience is preferred but not required. Strong candidates from other industries with excellent data engineering credentials and a desire to learn financial domain concepts are encouraged to apply. Nice to have: Experience with financial reference data - Security Master, Counterparty, or Account data Knowledge of financial instruments - equities, fixed income, derivatives, or FX Familiarity with data vendors such as Bloomberg, Refinitiv, or FactSet Experience with data governance, lineage tools, or metadata management Familiarity with dbt or similar transformation frameworks Exposure to Kafka or event driven data architectures Experience in a regulated financial services environment Core Competencies Communication: Ability to clearly articulate technical concepts to non technical stakeholders including business analysts, traders, and senior management. Collaboration: Strong team player who works effectively across engineering, business, and operations teams in a fast paced environment. Problem Solving: Analytical mindset with a track record of diagnosing complex data quality and pipeline issues in production environments. Ownership: Takes end to end accountability for data products - from design through delivery, monitoring, and continuous improvement. Adaptability: Comfortable managing multiple priorities and adapting to changing business requirements in a dynamic financial services environment. What we offer Opportunity to work on high visibility, firm critical data infrastructure used across global trading and operations. Collaborative, engineering led culture with strong emphasis on code quality, testing, and continuous improvement. Access to modern cloud tooling and the opportunity to influence platform architecture decisions. Exposure to a wide range of financial products and business domains across a leading global investment bank. About Us Jefferies is a leading global, full service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments. At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients. Jefferies is an equal employment opportunityemployer, and takes affirmative action to ensure that all qualified applicantswill receive consideration for employment without regard torace,creed, color, national origin, ancestry,religion, gender, pregnancy,age, physicalor mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying withall federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonableaccommodationsto individuals with disabilities, asrequired by applicable law. Job Info Job Identification 4534 Job Category Information Technology Posting Date 06/23/2026, 04:02 PM Job Schedule Full time Locations 100 Bishopsgate, London, EC2N 4JL, GB

Jefferies Financial Group is seeking a Senior Data Engineer to join their Reference Data Group. This role focuses on designing and managing data platforms essential for trading and compliance within the firm. The successful candidate will possess extensive experience with Python, Snowflake, and Apache Airflow, and be comfortable building scalable data pipelines. Located in London, this full-time position offers opportunities to work with cutting-edge technology in a dynamic, collaborative environment.