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Salary
≈ $31k – $84k per year (Estimated)
Location
Remote (Serbia)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Jun 19, 2026.

Overview
Company
Impact
Profile match
ING Software is a Serbian software company founded in 2006 and headquartered in Nis. It builds web and mobile products for European and American clients. The company is one of the largest technology employers in southern Serbia.

Ingsoftware is a full-cycle software development company that was built from scratch in a garage in Niš fifteen years ago, to become one of the most successful local business stories of the Serbian South (and beyond!). Our remote-first community of tech lovers who embrace a laid-back and friendly vibe is currently looking for a Data Engineer to join our Ing-redible team! If you thrive in a workspace that encourages creativity, productivity, and continuous personal growth - keep reading to find out more.

You might be a great fit if you tick most of the boxes:

  • Bring at least 3 years of experience as a Data Engineer;
  • Have a knack for analyzing data, spotting patterns, and turning insights into action;
  • Are familiar with Python, PySpark, Git, SQL, Databricks, AKS, and Azure Data Services like Data Factory, Data Lake;
  • Have experience with cloud platforms, ideally Azure;
  • Are familiar with migrating existing pipelines from on-prem Hadoop systems to Azure cloud services;
  • Know your way around data visualization tools;
  • Understand data security and privacy best practices, and why they matter;
  • Have hands-on experience with Agile methodologies like Scrum;
  • Can explain complex technical stuff in a simple way, whether you're talking to a teammate or a stakeholder;
  • Are proactive, dependable, and genuinely excited about working with data;
  • Have excellent written and spoken English skills.

The responsibilities of this position include, but are not limited to:

  • Designing and building end-to-end data pipelines that handle complex business logic - with input from stakeholders along the way;
  • Running data quality checks and making sure data stays clean, accurate, and reliable throughout its journey;
  • Working closely with Data Scientists, Business Analysts, and other teams to turn business needs into scalable data solutions;
  • Spotting data-related challenges and bottlenecks early and finding smart, efficient ways to solve them;
  • Keeping up with the latest tools, trends, and best practices in data engineering, and bringing fresh ideas to the table;
  • Supporting and mentoring colleagues, sharing your knowledge of solid data engineering practices.

And here’s what our future colleagues can expect from us:

  • Working on data-led, UX-driven and tech-agnostic digital solutions across a variety of industries and global markets;
  • A perfectly sized company that strikes a balance between startup agility and corporate stability;
  • Agile organization with matrix structure and career development processes implemented;
  • Work-life balance through the remote-first approach and flexible working hours;
  • Psychological safety based on feedback culture, embracing and learning from mistakes.

Our benefits include additional vacation days, private health insurance, longer breaks on Wednesdays, Research Hours, Friday Tech Talks and education opportunities for all Ingsters. 

We look forward to hearing from you!

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