Data Lineage Engineer

Job Introduction

Handelsbanken combines a long-established relationship banking model with secure, resilient, and customer-focused technology. Our technology teams enable the Bank’s decentralised way of working, delivering systems built for stability, trust, and long-term value.

We are on a multi-year technology and digital transformation journey to enhance customer experience and improve how colleagues work together. By modernising platforms, simplifying processes, and better connecting data and systems, we help relationship teams focus on customers and less on complexity.

Our decentralised culture extends to technology. Teams are trusted to take ownership, make informed decisions, and deliver sustainable, high-quality solutions. We value engineering excellence, pragmatic problem-solving, and strong collaboration across technology, business, and risk.

We offer technologists the opportunity to build lasting careers, deepen their expertise, and contribute to meaningful change. We look for people who care about quality, security, long-term impact, and who want to shape the future of a relationship-led bank.

We also recognise that flexibility can support people to perform at their best, and that it looks different for everyone. While arrangements will depend on the requirements of the role and the needs of the business, we are open to having a conversation around what flexibility could look like for you.

Check our Handelsbanken website for further information

The opportunity 

The Data Lineage Engineer is a key role in our journey to becoming a data driven organisation

Working within the UK Data Management function, the role holder is responsible for day to day running of the UK Bank’s enterprise data management technology, requiring expertise to enable metadata extraction, data lineage documentation, data quality profiling, semantic discovery, data marketplace, data analysis and metadata integration solutions.  The role holder will be key to the successful implementation and on-going technical support of the Bank’s data management policies. 

The role reports directly to the Data Technology Lead and is part of a small team of data lineage engineers and data analysts responsible for embedding technologies to support best practice data governance, metadata management, data lineage and data quality across the Bank whilst also helping support the wider change initiatives.

Key responsibilities 

• Design, develop, and maintain metadata processing solutions using Ab Initio software, to support the Bank’s data management policies and standards. Collaborate with business analysts and data architects to understand their requirements, including those related to AI / ML projects. 
• Translate business requirements into technical specifications. Develop and implement data integration solutions for metadata, data lineage and data quality.
• Develop, maintain, and optimize metadata and data pipelines, to support semantic discovery, profiling and periodic data quality monitoring solutions within the Bank’s data management system (Ab Initio).   
• Providing advanced data analysis built on a Ab Initio graphical development environment for the creation of complex data processing to support the Banks data lineage and data quality control requirements.
• Perform data analysis, to identify, collect and migrate data to and from a range of systems, to manipulate and link different data sets for the purpose of summarising and presenting data and recommendations in the most appropriate format for stakeholders
• Document data lineage models at physical, logical and conceptual levels to support Bank-wide IT and analytics issue identification and development.
• Analyse, document and resolve issues identified from data mapping and data conversions and manage the stakeholder engagement to resolve with both Business and IT SMEs. 
• Partner with IT and business to design and implement data quality solutions that adhere to banks data principles and governance framework
• Support and influence the definition of clear goals to improve data collaboration, data quality, and reduce data architecture complexity and information security risks
• Be passionate about data quality and continuously strive to promote data quality through the development of system and process controls
• Analysing and assessing risks and impacts of solution options, performing cost-benefit analysis and collaborating with a variety of stakeholders to achieve an investment decision.
• Develop the enterprise capability to derive business meaning from data across the UK data landscape by aligning metadata and data content to support data governance framework activities, automation of data quality assessment and enrich datasets with metadata.  

What we are looking for:

Research (by Harvard University) shows that women are particularly likely to second guess themselves and not apply - so if you are worried you don't meet all the criteria, get in touch anyhow and let us do the worrying…

• Understanding of information management practices including information lifecycle management, data modelling, master data management and carrying out data audits and requirements gathering
• Working knowledge of statutory frameworks such as CCPA, GDPR, BCBS and Data Protection Act
• Experience of leading projects and leading/influencing a diverse stakeholder group, including senior stakeholders
• Methodical with strong attention to detail, accuracy and efficiency are key
• Analytical approach to work; varying ways to problem solve (e.g. data analysis, MI), root-cause analysis etc.
• Technical expertise with significant experience delivering data lineage and analysis within regulated industries
• Demonstrate excellence in administering the following Ab Initio Products (Co>Op system, Express-it, Acquire>It, Control Centre, Metadata Hub, Authentication Gateway) 
• Extensive SQL experience to source, analyse, normalise and process data for quality validations
• Experience using data visualisation tools to present complex analysis is essential e.g. Power BI, Tableau, Qlikview
• Experience working in data quality, data governance or data management or experience working as a Data Analyst or Data Engineer within a Financial Services environment
• Strong presentation skills both written and oral, experienced in presenting complex data concepts to a business audience i.e. running workshops and formal data governance meetings
• Knowledge and understanding of master data elements and processes, understanding of static versus transactional data challenges
• Experience creating and using data models and data definitions
• Experience of data modelling is ideal
• Strong hands-on experience with major cloud providers (e.g., AWS, Azure, Google Cloud Platform) and their respective AI/Data services.
• Familiarity with data warehousing tools (e.g., Snowflake, DataBricks, BigQuery) and modern AI frameworks.
• (Optional) Experience using a variety of software tools such as JIRA, Confluence, MS Visio etc.
• (Optional) Practical experience and an understanding of both Agile and Waterfall ways of working
• (Optional) Experience in modelling business processes, preferably BPMN or other industry modelling standards

Why join Handelsbanken

We want everyone at Handelsbanken to feel supported, motivated, and able to do great work. That’s why, alongside brilliant colleagues, meaningful work and training and development opportunities, we provide a variety of benefits designed with your wellbeing in mind. 

In addition, there is a flexible benefits package with the key highlights detailed below.

Application next steps

Your journey with us begins once you have submitted your application. One of our Handelsbanken Talent Acquisition Partners will be reviewing your details and will later organise a phone conversation if your experience aligns with our requirements, we will extend an invitation for you to participate in an interview.  

This advert will be live for a minimum of two weeks. However, please note that after the two weeks, the closing date could change at any time depending on the number of responses received.

The Bank is deeply committed to embedding good equality and diversity practice into all of our activities. This is so that we are an inclusive, welcoming and inspiring place to work that encourages everyone to apply, regardless of socio-economic background, age, disability, pregnancy and/or parental status, race (including colour, nationality, and ethnic or national origin), veteran status, marital and civil partnership status, religion or belief, sex, gender reassignment or sexual orientation.

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