Senior Data Engineer
Backbase Open At a glance
Senior Data Engineering role at Backbase. Krakow.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after Data Lakehouse workspaces, data pipelines and related objects
- Bring data in from databases, change-capture processes and streaming sources, checking its accuracy and consistency
- Use SQL and Python to create data solutions and models for reporting, analytics and AI
- Work with user experience designers on visualizations, dashboards and reports for customers
- Coordinate with other teams to shape data solutions, improve performance, resolve issues and document your work
What you bring
- At least five years of data engineering experience, preferably using Databricks
- A bachelor's or master's degree in computer science, data science or a related discipline
- Strong Python, Java and SQL skills, plus knowledge of Data Lakehouse and Delta Lake
- Experience with cloud platforms such as AWS or Azure
Who this fits
This senior role suits someone comfortable designing data solutions and working with colleagues across teams. You should be able to explain technical ideas clearly in English and understand data domains, regulations and compliance needs.
From the employer
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.
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.
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