Senior Data Engineer

As a Data Engineer you will play a crucial role in designing, developing, testing and implementing data solutions for our Engaging Banking Platform. Your responsibilities will span from data integrations, processing, validations and visualisation utilizing Data Lakehouse with medallion architecture, Reporting Suite and conversational LLM models. You will guard the data consistency, quality and end to end governance from where data is born to where it is used in dashboards, AI / ML applications and other data consumers. You will also be involved in building insightful visualizations and reports used by customers of banks worldwide.

In addition you will be involved in design, develop, and deploy scalable AI-driven solutions: underlying infrastructure, agent orchestration layers, and evaluative frameworks that make AI reliable, safe, and impactful in a highly regulated financial environment.

You will work in a multinational, diversified, focused and professional environment with a friendly atmosphere.

We bring data in, reconcile it into one version people can rely on, and make it available to the right audience. Increasingly that audience is agents as well as people, so everything we build has to work for both. Two things must hold at every step: that only the right people can see it, and that we can prove it is correct. You build the platform that makes both possible.

As a Senior Data Engineer you own the foundation: the lakehouse, the pipelines that fill it, and the layers that serve it. We treat data as a product, so each one has a named owner, a documented contract with the teams who consume it, and stated expectations on freshness and quality. That includes Data as a Service, where internal and external teams run analytics on data held in our AI-powered Banking OS.

This is not only a tabular data job. A large part of it is a versioned documentation corpus, kept current, deduplicated and traceable across many product versions, and much of it arrives semi-structured rather than clean. The consumers are not only dashboards either. You build and maintain the MCP tools that let AI agents query documentation, API specs and release history directly. That is a meaningful part of the role, not a side project.

We hold pipelines to the same standard as application code: tested, reviewed, deployed through CI/CD, observable in production, and promoted properly across environments. If that is already how you think about data engineering, you will recognise this team quickly.

What you'll do

develop and maintain the workspaces, data pipelines and objects in Data Lakehouse

develop and maintain data ingestion solutions from many different sources, such as RDBMS, Change Data Capture and streaming endpoints ensuring its accuracy and consistency

Develop and maintain data-oriented solutions with SQL and Python code

create and maintain data models to support reporting and analytics needs incl. AI models

will be involved in create custom visualizations together with our user experience designers, develop interactive and visually appealing dashboards and reports

work closely with cross-functional teams to understand business requirements and deliver data-driven solutions, develop optimisations and troubleshoot issues

document and share knowledge on solutions, including data models, reports, and dashboards, for future reference and training purposes.

Who you are

A Bachelor's or Master's degree in Computer Science, Data Science, or a related field;

5+ years of experience in data engineering, preferably in Databricks

Strong skills in programming languages like Python and Java and database programming SQL

Expertise in Data Lakehouse concepts and Delta Lake;

Strong solution design and architecture skills, understanding of data domains, regulations, and compliance requirements;

Experience with cloud computing platforms (e.g., AWS, Azure);

Exceptional problem-solving skills and the ability to think critically under pressure;

Excellent communication and collaboration skills to work effectively within a team and to explain concepts to your team's colleagues..

Excellent written and verbal communication skills in English.