[ISO] Data Engineer

Software Mind

1d•Remote

About The Position

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. Project – 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

Requirements

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

Nice To Haves

MS in Big Data, AI or relevant fields
Certifications such as PMI ACP, PMP, SAFe, CSM, or equivalent are beneficial

Responsibilities

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