Data Engineer

The IT company Andersen invites a 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 to join its team for working with our partners from Germany. 

The customer is a leading European mass media company based in Germany. They operate free-to-air commercial TV channels, pay television channels, radio stations, and related print businesses. Their core business is advertising-financed free television, and they are known for providing popular entertainment and infotainment across various media platforms. 

The project is a social networking app with a unique approach to dating and meeting new people. It has features like location-based matching and live video streaming, setting themselves apart from other dating apps.   

𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:

- Designing, developing, and maintaining scalable data pipelines using Python and SQL to support data ingestion, transformation, and analytics.

- Building and optimizing data models within cloud data warehouses such as Snowflake, Databricks, or Google BigQuery to enable efficient querying and reporting.

- Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand data needs and deliver appropriate solutions.

- Orchestrating and monitoring workflows using tools such as Apache Airflow and Databricks Workflows/Jobs to ensure reliable data processing and timely delivery.

- Implementing best practices for data quality, reliability, and performance across the data infrastructure.

- Participating in code reviews, contributing to architectural decisions, and continuously improving data engineering standards and processes.

- Maintaining and enhancing data access layers used in reporting tools such as SAP BusinessObjects.

- Monitoring system performance, troubleshoot issues, and proactively suggesting improvements for scalability and maintainability. 

𝐌𝐮𝐬𝐭-𝐡𝐚𝐯𝐞:

- Experience in Data Engineering roles for 4+ years.

- Strong Python skills for data processing and pipeline development.

- Solid experience writing and optimizing complex SQL queries.

- Hands-on experience with data warehouses: Snowflake, Databricks, or Google BigQuery (2+ preferred).

- Familiarity with ETL orchestration tools, especially Airflow.

- Understanding of data modeling, data quality, and performance optimization. Comfortable working in a cloud-based environment (AWS, GCP, or Azure).

- Strong communication skills and ability to work in cross-functional teams. — Level of English – Upper-Intermediate and above. 

𝐍𝐢𝐜𝐞-𝐭𝐨-𝐡𝐚𝐯𝐞:

- Experience with Databricks Workflows/Jobs.

- Exposure to reporting tools like Business Objects. 

𝐑𝐞𝐚𝐬𝐨𝐧𝐬 𝐰𝐡𝐲 𝐭𝐡𝐢𝐬 𝐣𝐨𝐛 𝐰𝐨𝐮𝐥𝐝 𝐛𝐞 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐢𝐧𝐠 𝐭𝐨 𝐲𝐨𝐮:

- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. 

- The opportunity to change the project and/or develop expertise in an interesting business domain. 

- Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant. 

- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. 

- The opportunity to earn up to an additional EUR 1,000 per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. 

- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. 

- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies); 

- Certification compensation (AWS, PMP, etc.). 

- Referral program. 

- English courses. 

- Private health insurance and compensation for sports activities. 

Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy/pl

Join us!