At a Glance
- Tasks: Support data governance and reporting for a top-tier banking client in London.
- Company: Join a leading financial services firm with a focus on innovation.
- Benefits: Permanent position with competitive salary and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on continuous improvement and career development.
- Why this job: Make an impact by ensuring data integrity and compliance in a dynamic environment.
- Qualifications: 3+ years in data analytics or governance, strong SQL and Python skills required.
The predicted salary is between 55000 - 65000 £ per year.
The Technical Analyst – Data Lineage will support a Data Governance, Controls, and Reporting program for a top-tier banking client. Responsible for establishing and validating end-to-end lineage across critical datasets used in operational and regulatory reporting. Translate governance and reporting requirements into actionable lineage deliverables (source-to-target mapping, lineage diagrams, metadata standards, and audit evidence). Work with Data Platform, Data Engineering, Architecture, Risk, Compliance, and Security teams to define lineage standards, metadata capture, and control points. Maintain lineage artifacts for Critical Data Elements (CDEs), key reports, and priority data products. Support control design to ensure traceability from source systems → transformations → curated layers → consumption (dashboards/reports/APIs). Actively participate from discovery workshops through to implementation and continuous improvement. Ensure traceability from data definition → transformation logic → lineage evidence → audit readiness.
Location: The role supports one of our top-tier banking clients in London (Canary Wharf) and requires a minimum of three days on-site presence. This is a permanent position based in the UK. We will only consider applicants who are eligible to work in the UK. For this role do NOT offer visa sponsorship.
Experience Requirements & Qualifications: Minimum 3 years of relevant experience in data analytics, data quality, reporting controls, or data transformation programs (preferably in financial services).
Core Skills & Experience: Minimum 3 years of relevant experience in data governance, lineage, metadata management, or controls programs within finance/banking. Strong understanding of data lineage concepts: technical lineage, business lineage, column-level lineage, impact analysis, and provenance. Hands‑on experience with data lineage / metadata tooling in enterprise environments (e.g., Collibra, Alation, Informatica EDC/IDMC, IBM Infosphere, Microsoft Purview, Apache Atlas, Amundsen, DataHub or similar). Proven ability to build lineage for complex platforms: data lakes, warehouses, marts, and distributed processing (Spark‑based pipelines). Strong proficiency in SQL for tracing transformations and validating mappings across layers. Working knowledge of ETL/ELT patterns, data modeling (dimensional + normalized), and batch scheduling dependencies. Ability to interpret data transformation logic from pipelines (Spark SQL / PySpark / Hive queries / orchestration configs). Strong documentation capability: source‑to‑target mappings, lineage diagrams, data dictionaries, metadata standards, and control evidence packs.
Technical Skills: Strong proficiency in Python (data analysis/automation for metadata extraction, validation scripts, rule checks). Hands‑on experience with PySpark and Spark SQL in production environments. Solid knowledge of Hive, Impala, HDFS, and Parquet. Advanced SQL skills; experience with Oracle databases is preferred. Working knowledge of Autosys & Apache Airflow. Experience with CI/CD tools (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift). Familiarity with AWS S3 for large-scale data storage. Exposure to Tableau (understanding data sources, extracts, dependencies) is a plus.
Nice-to-Have: Experience with regulatory reporting data domains (risk, liquidity, capital, finance, BCBS 239 alignment, etc.). Knowledge of data governance operating models: CDEs, data ownership, stewardship, data quality dimensions. Experience creating audit‑ready documentation and participating in audit walkthroughs. Experience working in Agile/Scrum delivery models. Familiarity with monitoring and alerting tools for data pipelines.
Experience Requirements & Qualifications: Conduct discovery workshops to identify priority reports, data products, and Critical Data Elements (CDEs). Build and maintain end-to-end lineage across systems, including column‑level mappings where required. Produce and maintain Source-to-Target Mapping (STTM) documentation and metadata standards. Validate lineage accuracy by tracing logic through SQL/Spark transformations and pipeline configurations. Support impact analysis for proposed changes (upstream/downstream dependencies, report impact, control impact). Partner with engineers and platform teams to improve metadata capture and lineage automation (where possible). Define lineage‑related control points and produce audit‑ready evidence (diagrams, mappings, query proofs, run evidence). Support UAT by validating that reported numbers can be traced and explained back to trusted sources. Maintain the lineage backlog and track changes across releases to ensure artifacts remain current.
Data Lineage & Governance Analyst in London employer: Boundaryless
As a Data Lineage & Governance Analyst at our esteemed banking client in Canary Wharf, London, you will thrive in a dynamic work culture that prioritises collaboration and innovation. We offer competitive benefits, a commitment to employee growth through continuous learning opportunities, and the chance to work on impactful projects that shape the future of data governance in financial services. Join us to be part of a forward-thinking team dedicated to excellence and integrity in data management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lineage & Governance Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and data governance space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and data lineage concepts. Be ready to discuss your hands-on experience with tools like Collibra or Informatica. Show them you can translate complex data governance requirements into actionable insights!
✨Tip Number 3
Don’t forget to showcase your documentation skills! Bring examples of your source-to-target mappings or lineage diagrams to the interview. This will demonstrate your ability to maintain audit-ready documentation and your attention to detail.
✨Tip Number 4
Finally, apply through our website! We’re always on the lookout for talented individuals who can help us drive data governance and lineage initiatives. Plus, it’s a great way to ensure your application gets the attention it deserves!
We think you need these skills to ace Data Lineage & Governance Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Lineage & Governance Analyst role. Highlight your relevant experience in data governance, lineage, and metadata management, especially in financial services. We want to see how your skills match what we're looking for!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your proficiency in SQL, Python, and any data lineage tools you've used. This helps us see how you can contribute to our team right away.
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to complex topics like data lineage.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Boundaryless
✨Know Your Data Lineage Concepts
Make sure you brush up on your understanding of data lineage concepts like technical lineage, business lineage, and column-level lineage. Be ready to discuss how you've applied these in past roles, especially in financial services.
✨Showcase Your Technical Skills
Prepare to demonstrate your hands-on experience with data lineage tools and SQL. Bring examples of how you've used Python or PySpark for data analysis or automation, and be ready to explain your approach to validating mappings across layers.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about how you would handle specific challenges related to data governance and lineage, such as ensuring audit readiness or managing upstream/downstream dependencies.
✨Highlight Your Documentation Skills
Documentation is key in this role, so be prepared to discuss your experience creating source-to-target mappings, lineage diagrams, and metadata standards. Bring samples if possible, and explain how your documentation has supported audit processes in the past.
