Our mission is to help people integrate technology into everyday life and to enable innovation through technology. We offer software development and infrastructure solutions, with advanced competences in Blockchain, Artificial Intelligence and Machine Learning. All our offices (in Western Europe or nearshore, in CEE) are located within the boundaries of the European Union. We believe working in close cooperation with our clients and employees is the key to success; this means we offer people the best working environment in order to achieve the best results. We love entrepreneurial spirits and encourage people around us to be proactive and make the best decisions not only for business, but for their own personal development. Our nearshore Romanian offices are in Bucharest (Victoriei Square) and Iasi (Palace) and, with over 9000 team members at group level, we make sure we are always close to our customers.
Role Overview:
We are looking for an experienced Data Engineer to design, build, and optimize scalable data platforms and pipelines using Databricks and Apache Spark. In this role, you will develop robust ETL/ELT solutions, enable real-time and batch data processing, and support analytics and machine learning initiatives. You will work closely with data scientists, analysts, architects, and business stakeholders to deliver high-quality, reliable, and secure data solutions in a cloud environment.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and Python/Scala.
- Build and optimize batch and real-time data processing workflows using Spark Structured Streaming.
- Develop and maintain ETL/ELT processes for ingesting, transforming, and integrating data from multiple sources.
- Manage and optimize Databricks Workflows, Jobs, Notebooks, and Clusters to ensure reliable and efficient execution.
- Design and implement data solutions using Delta Lake, including data versioning, schema evolution, and ACID-compliant transactions.
- Optimize Spark applications for performance, scalability, and cost efficiency.
- Develop and maintain advanced SQL queries, transformations, and data models to support reporting and analytics.
- Collaborate with data scientists to prepare datasets and support machine learning workflows.
- Work closely with business stakeholders, analysts, and product teams to understand data requirements and deliver reliable data products.
- Ensure data quality, consistency, governance, and security across the data platform.
- Monitor, troubleshoot, and resolve performance issues and production incidents related to data pipelines.
- Contribute to the continuous improvement of data engineering standards, best practices, and automation.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 4+ years of experience in Data Engineering, Big Data, or Cloud Analytics environments.
- Previous experience in the banking or fintech sector is highly preferred.
- 2+ years of hands-on experience with Databricks, including:
- Workflows
- Jobs
- Notebooks
- Clusters
- Delta Lake
- Spark Structured Streaming
- Strong expertise in Apache Spark (PySpark or Scala) for large-scale data processing.
- Advanced knowledge of SQL and Python or Scala.
- Experience building and maintaining complex ETL/ELT pipelines.
- Strong understanding of Delta Lake concepts, including:
- ACID transactions
- Time travel
- Schema evolution
- Data versioning
- Experience working with cloud platforms, preferably Azure Databricks.
- Strong analytical and troubleshooting skills with the ability to optimize distributed workloads.
- Excellent communication and collaboration skills.
Once on board we offer various programs and benefits:
- 22 annual vacation days, 3 sick days that are not carried to the next year (no medical certificate required)
- A seniority day is added every 3 years in the company
- Floating days - free day for every public holiday that falls on the weekend, with the exception of holidays which always fall during the weekend
- Annual Company Bonus prorated according to the number of worked months in a year
- Private medical insurance
- Access to an online benefit platform, with a monthly allowance of 690 RON, which you can choose to invest in different wellbeing, financial, or retail packages
- Financial support for the birth of your child or unhappy events
- A work culture based on cooperation and development - customized learning paths through external providers as well as special development programs.
- We offer remote work flexibility, driven by smart working principles and aligned with team goals and values
- Wellbeing initiatives to encourage a healthy work life balance through webinars, specialized sessions and internal programs, per our colleagues’ input
Key Skills
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- Posted
- Jul 04, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Bucharest
- Company
- Cegeka
Industries
Categories
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