The Company

We are a Norwegian owned company, delivering offshore software services from our development centre in Sri Lanka. Over the last 15 years, we have completed 250+ successful projects worldwide, for clients ranging from startups to Fortune 500 companies. For a decade and a half, we have been creating breakthrough software for leading organisations in Europe, USA, Australia, Singapore and more. We are a team of global experts who architect solutions that change the way business is done and add colour to everyday living.

We offer custom software application development to diverse sectors such as proptech, fintech, environment, logistics, maritime, health, and more. We assign a dedicated, long-term technology team to each client, allowing for seamless integration with their internal teams. Guided by the Nordic values of trust, transparency and commitment, our diverse team drives innovation and disruption in the modern digital era.

The Role

As a Senior Data Engineer, you will be part of a dynamic team dedicated to developing cutting-edge software for an global real state services client offering multifamily property management solutions.

Required Skills

• Analyze, organize, and model complex datasets in preparation for data lineage and data ingestion.
• Design stable ETL solutions for datasets, matching business needs and technology trends.
• Build, implement, and optimize pipelines handling transactional, geospatial, and client data.
• Report on data quality and advise on potential improvements.
• Engage with diverse business stakeholders to develop tailored cloud solutions that meet their specific needs and objectives.

Top 3 Responsibilities

• Translate business requirements into solid ETL solutions.
• Establish stable automated data ingestion pipelines.
• Create data marts to enable data availability for various use cases.

Profile

• You have a minimum of 4 years of experience with data engineering or data analysis.
• You have academic education and work level.
• You speak and write excellent English.
• You have knowledge of SQL, Python, and PySpark;
• You have experience with Azure Microsoft Fabric, Azure Data Bricks, Synapse, Azure Data Factory
• You have experience with ETL, ELT with Lakehouse Architecture
• You have experience in managing data pipelines with metadata pipelines
• Ability to collaborate effectively in a cross-functional team environment.
• Engaged in Data Management tasks, including ensuring Data Governance and maintaining Data Observability.
• Experience working with big geospatial data (prefered)

Benefits

• Great Remuneration 💰
• Flexible Work Arrangement 🏠
• Performance Bonus 🏦
• Private Health Insurance 🏥
• Accelerated Career Growth 📚
• Latest Tech Equipment 💻
• International Exposure 🚀
• Exciting Company Events 🥳