Data Engineer

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.

As a Data Engineer, you will be a key member of a collaborative Agile team, working alongside engineers, data analysts, and business analysts. You will contribute to the design, development, and optimization of data pipelines and platforms, ensuring scalability, performance, and reliability. This role offers the opportunity to work on large-scale data processing systems using modern big data technologies.

Sounds like your kind of challenge?

– Hybrid

What You'll Be Doing

• Design, develop, and maintain data pipelines using PySpark and related big data technologies.
• Implement tools and processes to ensure performance, scalability, availability, and accuracy.
• Collaborate with Business Analysts to interpret and implement requirements.
• Participate in Agile ceremonies including sprint planning, reviews, and retrospectives.
• Contribute to system architecture and design discussions.
• Promote development standards, conduct code reviews, and share knowledge with the team.
• Provide production support and troubleshooting for data pipelines.
• Ensure automated testing and deployment processes are in place.
  
  

Note: Detailed project information will be shared during the recruitment process.

What You Get In Return

• Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
• Hybrid work setup – 2 days from the office per week
• Collaborative team culture – work alongside experienced professionals eager to share knowledge
• Continuous development – access to training platforms and growth opportunities
• Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
• High quality equipment – laptop and essential software provided
  
  

Who We're Looking For

• 5+ years of experience in software design and development in an Agile/DevOps environment.
• Strong expertise in PySpark or Scala development and design.
• Experience with scheduling tools such as Airflow.
• Hands-on experience with Hadoop ecosystem components: Apache Spark, Hive, YARN, MapReduce.
• Proficiency in Python, SQL, and ETL frameworks.
• Experience with RESTful services.
• Strong knowledge of Unix/Linux platforms.
• Experience building data pipelines using Hadoop components (Hive, Spark SQL).
• Familiarity with version control tools (Git, GitHub), automated deployment tools (Ansible, Jenkins), and JIRA.
• Understanding of big data modeling techniques (relational and non-relational).
• Ability to debug code issues and provide actionable feedback.
  
  

Good To Have

• Experience with Elasticsearch.
• Development experience with Java APIs.
• Experience with data ingestion processes.
• Understanding of cloud design patterns.
• Exposure to DevOps and Agile methodologies (Scrum, Kanban).
  
  

Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.

Ready to take the next step?

Submit your application! We look forward to reviewing your profile 😊

Know someone who might be a great fit?

Feel free to share this opportunity using the referral link: Mindbox Referrals System