What we’ll offer you

• As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under child care assistance benefit (gender neutral)
• Flexible working arrangements
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities :

• Work within software development applications as a Data Engineer to provide fast and reliable data solutions for warehousing, reporting, Customer- and Business Intelligence solutions.
• Partner with Service/Backend Engineers to integrate data provided by legacy IT solutions into your designed databases, and make it accessible to the services consuming those data.
• Focus on the design and setup of databases, data models, data transformations (ETL), critical Online banking business processes in the context Customer Intelligence, Financial Reporting and performance controlling.
• Contribute to data harmonization as well as data cleansing.
• A passion for constantly learning and applying new technologies and programming languages in a constantly evolving environment.
• Build solutions are highly scalable and can be operated absolutely flawlessly under high load scenarios.
• Together with your team, you will run and develop you application self-sufficiently.
• You’ll collaborate with Product Owners as well as the team members in regards to design and implementation of data analytics solutions and act as support during the conception of products and solutions.
• When you see a process running with high manual effort, you’ll fix it to run automated, optimizing not only our operating model, but also giving yourself more time for development.

Your skills and experience:

• Degree in Computer Sciences, Maths, related field and/or Strong professional experience and expert knowledge (also practical) of database systems and database structures; at least experience to work with two of the following database technologies: Relational, Document, Key-Value.
• Strong professional experience and expert knowledge (also practical) in working with (large-scale) structured and unstructured data.
• Advanced knowledge (also practical) on common data structures.
• Knowledge (also practical) of SQL and GraphQL and other BI related languages like Python or R.
• Broad knowledge on mathematical models / statistics.
• Excellent analytical and conceptual thinking and strategic planning skills.
• Excellent communication skills, strong independence and initiative, ability to work in agile delivery teams.
• You preferably know ITIL standards.
• Good communication and experience in working with distributed teams (especially Germany + India)
• Knowledge (also practical) on design principles of ETL processes in the DWH environment / Data Lake and how to automate them.

How we’ll support you

• Coaching and support from experts in your team
• Training and development to help you excel in your career
• Flexible working to assist you balance your personal priorities
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs