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Design, build, and maintain robust ETL/ELT data pipelines for structured and unstructured data within the Microsoft Azure environment. Collaborate with clients to translate business requirements into maintainable technical solutions using Lakehouse and Medallion architectures.
Holycode is looking for a Data Engineer to join our Novalytica team
Novalytica is a leading data science startup that develops data products using innovative data science and AI methods and supports companies on their journey to becoming data-driven organizations. To strengthen their team, they are looking for a highly motivated and hands-on Data Engineer to support their continued growth and to help shape challenging data and AI projects from conception to implementation.
Your tasks:
Your profile:Novalytica is a leading data science startup that develops data products using innovative data science and AI methods and supports companies on their journey to becoming data-driven organizations. To strengthen their team, they are looking for a highly motivated and hands-on Data Engineer to support their continued growth and to help shape challenging data and AI projects from conception to implementation.
Your tasks:
- Design, build and maintain robust data pipelines (ETL/ELT) for structured and unstructured data.
- Develop and operate data solutions in the Microsoft Azure environment, using Databricks and/or Microsoft Fabric.
- Use Python and SQL (and frameworks such as PySpark) for data processing, transformation and automation.
- Contribute to data integration, data modeling, data quality and data provisioning across projects.
- Work with modern data architecture concepts such as Lakehouse and Medallion architectures.
- Collaborate with colleagues and clients to translate requirements into clean, maintainable technical solutions.
- Around 2–4 years of relevant experience in data engineering or a related field.
- Strong Python skills (pandas, NumPy, PySpark, Spark, Delta Lake or similar frameworks) and solid hands-on experience with the Microsoft Azure data ecosystem.
- Good command of SQL.
- Experience with Databricks and/or Microsoft Fabric.
- Experience designing and operating data pipelines (ETL/ELT).
- Experience with modern data architecture concepts such as Lakehouse, Data Mesh, Medallion Architecture, Data Governance or semantic data models
- You are committed, creative and structured, and you have a strong hands-on mentality.
- Able to work independently and take ownership of your tasks.
- Curious, proactive, open-minded and willing to learn.
- Comfortable using AI tools in your daily work.
- Strong communication skills — you enjoy direct customer contact and translating business problems into robust technical solutions.
- English is sufficient; German is a plus.
- Nice to have: Experience with business intelligence tools such as Power BI, Qlik Sense or Tableau, or the willingness to use them effectively.
Why you will love working here:
- You will become part of a dynamic, growing data science and AI startup with an ambitious team.
- The opportunity to work with state-of-the-art technologies and tools in the fields of data engineering, cloud analytics, and artificial intelligence.
- An exciting work environment with projects at the intersection of data platforms, AI solutions and business transformation.
- High-growth company in which you can find exciting and trend-setting challenges
- Familial working atmosphere in an open-minded multinational team
- Working remotely (from Romania)
- All necessary equipment
- A budget for professional improvement (courses, conferences, books…)
- A budget for multi benefits platform (meal tickets, private medical insurance, private pension, etc)
- Premium private medical subscription with nationwide coverage
- Budget for the mastery of the English and German languages
- Skilled and senior co-workers
- Opportunities to learn and grow with us
If you are looking for an environment where you can grow professionally, learn from the best in the field, balance work and life habits and have a pleasant and enthusiastic environment, please submit your CV in English.
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