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.
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
- 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.
- 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 and MS PowerBI
- Strong skills in programming languages like Python and Java
- 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.
- Excellent written and verbal communication skills in English.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 5+ years of experience in data engineering
- Experience with Databricks
- Experience with Microsoft Power BI
- Strong programming skills in Python
- Strong programming skills in Java
- Expertise in Data Lakehouse concepts and Delta Lake
- Strong solution design and architecture skills, understanding of data domains, regulations, and compliance
- Experience with cloud platforms (AWS, Azure)
- Experience with Change Data Capture and streaming data ingestion
- Experience building or integrating AI/LLM-driven solutions and agent orchestration (preferred)
- Exceptional problem-solving and critical-thinking skills
- Excellent communication and collaboration skills
- Excellent written and verbal English
Backbase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Backbase and has not been reviewed or approved by Backbase.
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Fair & Transparent Compensation — Pay is considered fair in certain U.S. roles, with strong offers in senior engineering, solutions architecture, and sales tracks in higher‑paying markets. In some U.S. contexts, compensation is described as fair for the job.
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Leave & Time Off Breadth — PTO is described as generous in the U.S., with separate sick time and paid holidays contributing to a supportive time‑off setup.
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Wellbeing & Lifestyle Benefits — Hybrid/remote work programs, office perks like snacks, and learning‑budget messaging provide lifestyle flexibility and support beyond baseline coverage.
Backbase Insights
What We Do
Backbase is a fast growing fintech software provider that empowers financial institutions to accelerate their digital transformation and effectively compete in a digital-first world. We are the creators of the Backbase Omni-Channel Banking Platform, a state-of-the-art digital banking software solution that unifies data and functionality from traditional core systems and new fintech players into a seamless digital customer experience. We give financials the speed and flexibility to create and manage seamless customer experiences across any device, and deliver measurable business results. We believe that superior digital experiences are essential to stay relevant, and our software enables financials to rapidly grow their digital business. More than 120 financials around the world have standardized on the Backbase omni-channel banking platform to streamline their digital sales and self-service operations across all digital touchpoints. Our customer base includes ABN AMRO, Bank ABC, Barclays, BPI, CheBanca!, Citizens Lightstream, Credit Suisse, Fidelity, HDFC, IDFC, KeyBank, Ila Bank, Me Bank, Navy Federal, PostFinance, RBC, RBS, Standard Bank, Societe Generale, Truist, U Bank and Westpac. Industry analysts Celent, Gartner, Forrester and Ovum recognize Backbase as an industry leader in terms of omni-channel banking platform capabilities, and award the company high marks for its deep focus on customer experience management and unparalleled speed of implementation. Forrester named us a leader in the Forrester Wave for Omni-Channel Banking and Ovum nominates Backbase as the market leading provider of next-generation digital channel banking platforms. Backbase was founded in 2003, is privately funded, with headquarters in Amsterdam (HQ Global) and Atlanta (HQ Americas) and regional operations in Boisse, Cardiff, Dubai, Kraków, Mexico City, New York, Toronto, Singapore, Sydney and Tokyo.
