We are looking for a Data Engineer to help design and build our next-generation cloud-based Data Platform. As part of a collaborative and cross-functional team, you’ll develop scalable pipelines, robust infrastructure, and analytics-ready datasets that drive decisions and innovation across the business.
You’ll work in a modern, cloud-native environment embracing AWS tools, ELT workflows, and DataOps principles. This role is ideal for someone with a few years of hands-on experience who is ready to increase their impact and grow toward a senior-level contributor role.
Who We Are
Pollard Digital Solutions - Europe is a full-solution supplier of lottery management and iLottery technology for lottery markets. We’re a division of Pollard Banknote Ltd - a leading partner to 60 lotteries worldwide, known for high quality instant ticket products, licensed games, retail merchandising solutions, and innovation. Established in 1907 and headquartered in Winnipeg, Canada, Pollard Banknote is publicly traded on the Toronto Stock Exchange (PBL).
Our objective is to deliver the most innovative solutions that will render industry-leading returns to good causes in an ethically responsible way. We pride ourselves on a collaborative and inclusive workplace - where creativity, team spirit, and respect are core to how we work.
What We Offer:
- A truly collaborative and supportive working environment
- Modern office space with on-site parking
- Private health insurance
- Coverage for medical treatments outside of Serbia
- Learning and development budget
- Profit sharing – every role plays a part in our success
- Budget for sports activities
- Team-building and social activities
- Employee referral bonuses
- Hybrid work environment
- Additional employee perks
What You’ll Do:
- Collaborate in an agile team to design, build, and maintain reliable, secure, and scalable data pipelines
- Build workflows for ingesting, transforming, and integrating data using modern cloud-native tools
- Model datasets for analytics, reporting, and operational insights (data lakes and warehouses)
- Implement data quality checks, observability, and clear documentation for owned pipelines
- Work with AWS services such as Redshift, S3, Glue, QuickSight, Iceberg and RDS
- Automate processes and apply CI/CD practices to improve the efficiency and consistency of data delivery
- Collaborate with stakeholders to understand business needs and translate them into data solutions
- Stay current with evolving best practices in cloud data architecture, governance, and scalable design
Who You Are:
- A hands-on Data Engineer or BI Developer with 1–4 years of relevant experience
- A strong problem-solver who enjoys turning raw data into well-structured, actionable insights
- A team player with clear communication skills and a strong sense of ownership
- Passionate about data quality, continuous improvement, and modern data engineering practices
- Eager to learn, grow, and contribute to a collaborative and fast-moving engineering culture
What You’ll Need:
- Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
- Proficiency in SQL, data modeling, and query optimization
- Experience working with at least one cloud data platform (e.g., AWS Redshift, BigQuery, Snowflake)
- Hands-on experience with data pipeline tools (e.g., dbt, Glue, Informatica IICS, or similar)
- Familiarity with BI tools like QuickSight, Power BI, or Tableau
- Basic scripting or programming experience (e.g., Python)
- Understanding of Git and version control workflows
Nice to Have:
- Familiarity with “medallion” architecture
- Understanding of domain-oriented data ownership
- Familiarity with CI/CD practices or infrastructure-as-code tools (e.g., Terraform, CloudFormation)
- Understanding of data observability, lineage, or quality monitoring tools
- Experience working in Agile/DevOps-oriented environments
If you’re looking to join a company where your technical skills and ideas can make a meaningful impact, we’d love to hear from you. Apply today and let’s build something incredible together.
