Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Job DescriptionProject – the aim you’ll have
Design, build, and operate the unified data platform and domain pipelines that underpin scalable, trusted, and monetisable data products.
Position – how you’ll contribute
- Design and implement batch and real time ingestion pipelines from internal and external sources
- Implement automated data quality checks, observability, and SLA monitoring
- Support master data management, metadata, lineage, and access controls
- Optimise datasets and pipelines for analytics, ML training, and API consumption
- Work closely with Data Scientists and ML Engineers to support feature and model needs
- Contribute to long term platform roadmap and AI readiness
Expectations – the experience you need
- 5+ years experience in data engineering or platform roles
- Strong experience with SQL, Python, Spark, and cloud platforms (AWS, Azure, or GCP)
- Experience operating data platforms in production at scale
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
- MS in Big Data, AI or relevant fields
- Certifications such as PMI ACP, PMP, SAFe, CSM, or equivalent are beneficial
Our offer – professional development, personal growth
- Flexible employment and remote work
- International projects with leading global clients
- International business trips
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
Skills Required
- 5+ years experience in data engineering or platform roles
- Strong experience with SQL
- Strong experience with Python
- Strong experience with Spark
- Strong experience with cloud platforms (AWS, Azure, or GCP)
- Experience operating data platforms in production at scale
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
- MS in Big Data, AI or relevant fields
- Certifications such as PMI ACP, PMP, SAFe, CSM or equivalent
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
Software Mind Insights
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
