Solaris SE hiring Analytics Engineer (d/f/m) at Solaris in Berlin, Berlin, Germany | LinkedIn (2024)

Solaris is a tech company with a full German banking license. Our Banking-as-a-Service platform enables businesses to offer their own financial products. With our straightforward APIs, our partners can access and integrate a wide range of solutions such as digital banking, payments, cards, identification and lending services. As a market leader we are driven by bringing transformational change to the financial services industry.

We love what we do and we love our team. We are 700+ people from over 70 nationalities - a unique blend of techies, fintech enthusiasts, bankers and entrepreneurs from various industries. Our routines are built around genuinely valuing and exchanging different perspectives as well as actively sharing knowledge as we drive our business as a team. We believe and invest in personal growth.

Your Role

• Provide clean, transformed data ready for analysis
• Apply data engineering best practices to analytics code
• You are responsible for the design and implementation of ELT-based technology to achieve scale and performance
• You help to grow our analytics capabilities with faster, more reliable data pipelines, and better tools
• Collaborate with data analytics and data engineering team to build strong data products and empower end-users of our data catalog to make faster and accurate analysis
• Build data pipelines applying business logic, choosing levels of aggregation, grouping and transforming fields, checking data quality, and cleaning data;
• You are leading and participating in cross-functional projects that supporting data applications and reporting
• Develop custom data integrations

We'd love to see Depending on your level of experience, your responsibilities and scope of role will range. We don’t care much about fancy titles, but rather about real personal and professional development, as laid out in our learning framework. Let’s figure together out how you can contribute to our team.

• You are very proficient with SQL and familiar with Python
• You have solid hand on experience with cloud DWH solutions (Redshift, Snowflake)
• You have several years of professional experience in designing data pipelines and analysing large datasets
• You understand agile workflows and lean principles
• You communicate well in written and verbal English

Benefits

• We have a "remote-friendly" working arrangement
• Home office budget
• Learning and development budget
• Transparent framework to support your career goals
• Competitive salary

While job ads usually paint an ideal picture of a candidate, studies show that most applicants meet an average of 60% of the criteria. Unfortunately, many promising candidates tend to apply only if they meet all the criteria. So if you think you have what it takes, but don't necessarily meet every single item in the job description, please contact us anyway. We'd love to talk with you and find out if you might be a good fit for us.

At Solaris, we are committed to nurturing an inclusive environment, where all Solarians feel valued, respected and supported. We are dedicated to building a diverse workforce that reflects the diversity of our communities. We are committed to equal employment opportunity regardless of color, ethnicity, religion, sex, origin, disability, marital status, citizenship, or gender identity. We are proud to be an equal opportunity workplace. If you have a disability or special need that requires accommodation, please let us know.Information on data processing:

DE: https://www.solarisgroup.com/gdpr_notice_de

EN: https://www.solarisgroup.com/gdpr_notice_en

To all recruitment agencies: Solaris does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Solaris employees or any other venture in our ecosystem. Solaris is not responsible for any fees related to unsolicited resumes.