Data Engineer

We’re seeking a talented and passionate Data Engineer to join our growing team!

You’ll be responsible for designing, building, and maintaining scalable data architectures and pipelines, working across batch, streaming, and cloud technologies like Apache Airflow, Kafka, Spark, Databricks, and AWS. This is a great opportunity for someone who enjoys solving complex data challenges, optimizing high-performance SQL workflows, and driving data-driven impact across all layers of our product ecosystem.

About the role

In this position, you will need to have three to eight years of hands-on experience, with strong knowledge of SQL, Spark, and Apache Airflow, and proven experience with AWS and Databricks.

You’ll collaborate closely with product managers, designers, data analysts, and software engineers. Our core stack centers around Java, Spring Boot, AWS, Databricks, Spark, and Airflow, with streaming pipelines driven by Kafka and frontend features built with Angular and TypeScript. You will play a key role in designing new data models, maintaining pipeline performance, and deploying scalable data solutions to the cloud.

You’ll also have the opportunity to contribute to architectural discussions, optimize complex SQL workflows, improve CI/CD pipelines for data engineering, and experiment with complementary technologies like Infrastructure as Code (Terraform) or advanced analytical engines. This role is ideal for someone who wants to work in a dynamic environment and be part of a high-performing agile team.

You will contribute:

1. Proven hands-on experience as a Data Engineer or in a similar data-intensive software engineering role
2. Strong proficiency in SQL and deep understanding of relational and non-relational database architecture
3. Solid experience with distributed processing and orchestration platforms, specifically Apache Spark and Apache Airflow
4. Hands-on experience with real-time streaming architectures using Apache Kafka .
5. Practical experience working with AWS cloud platform services (e.g., S3, Redshift, EMR, Lambda, Glue) and Databricks
6. Good understanding of software engineering best practices (version control with Git, testing, CI/CD pipelines, modular design)

What’s in it for you?

Shape the future of customer experience

You’ll have the opportunity to contribute directly to the success of our clients by crafting exceptional web applications. We believe in the power of clean code – readable, maintainable, and scalable – to deliver lasting value. Your expertise will be instrumental in ensuring our applications not only meet present needs but also empower future growth. Opportunities to apply your knowledge on international projects of a larger scale will significantly boost your confidence and validate your skills on a significant level.

Thrive in a supportive culture of collaboration and growth

Our commitment to quality extends beyond code. ProductDock fosters an inclusive and supportive environment where open communication is encouraged. You’ll find the opportunity to collaborate with experienced professionals but also to share your knowledge through various workshops, tech talks, and meetups. A mentor’s mentality is something highly valued, and being friendly and helpful are truly important things at ProductDock; whether it’s about customers or colleagues, this is something we nurture and spread across the organization.

Enhance your personal and professional development

We recognize the importance of continuous learning. At ProductDock, we provide opportunities for professional growth through various training programs, conferences, and mentorship. With a competence matrix that serves as a transparent roadmap for your growth, together we’ll be able to determine what sets you up for success, and we are going to work on it as a team.

If you’re a person who thrives on challenges and seeks to make a lasting impact, then this might be the right place for you.

Apply today and embrace the chance to build a fulfilling career with a company that values its employees as much as it values code quality.

• Seniority Level
• Mid-Senior level
• Industry
• Software Development
• Employment Type
• Full-time