Job Description

Senior Platform Engineer – Data Engineer

Swedium Global Services Pvt. Ltd.

Swedium Global is a growing System Engineering and Solution Company offering services such as Semiconductor Engineering R&D Services, Custom Application Software Development, Web and Cloud Application Development, Testing Services, Consultancy, and Outsourcing services to clients across the globe through both onsite and offshore business models.

Swedium Global has a presence in Sweden, Finland, Poland, the Czech Republic, and India.

We are looking for a Senior Platform Engineer – Databricks for our customer.

Assignment Description

Profile/Role: Senior Platform Engineer – Databricks
Location: Södertälje, Sweden
Work Model: On-site, 5 days per week
Scope: 100%
Seniority: Senior
Language: English

About the Role

We are seeking a Senior Platform Engineer to join the Firecrackers team within an Asset Data organization. The team develops and maintains data platforms and pipelines that make high-quality operational data accessible and valuable for analytics, data science, and development.

The assignment has a strong focus on Databricks and Data Governance. You will play an active role in developing and improving the Databricks platform, building scalable and reliable data pipelines, and strengthening governance capabilities across the data platform.

This assignment is a replacement for an existing senior Databricks consultant and therefore requires a high level of technical expertise, independence, and the ability to contribute effectively from an early stage.

Core Technical Skills — Must Have

• Strong hands-on experience with Databricks and Apache Spark
• Strong experience with cloud-based data platforms, preferably AWS
• Strong programming skills in Python and SQL
• Data Engineering and Data Platform Development
• Experience designing and developing ETL/Data Pipelines
• Experience with Infrastructure as Code (IaC)
• Experience implementing IaC for Databricks and cloud infrastructure
• Strong understanding of Data Governance
• Data Quality and Data Management
• Metadata Management and Data Catalogues
• Data Discoverability
• Data Security and Compliance
• Data Platform Architecture
• Experience designing scalable and production-ready data platforms
• Strong analytical and problem-solving skills

Strongly Preferred

• AWS experience
• AWS and/or Databricks certifications
• Production experience with Databricks
• Experience with medium- to large-scale data platforms
• Experience implementing governance capabilities in complex data environments
• Experience working with Data Scientists and Machine Learning Engineers
• Experience developing secure and governed data products

Key Responsibilities

• Design, develop, and maintain scalable data platforms and pipelines with a strong focus on Databricks.
• Improve the existing Databricks platform setup, architecture, and capabilities.
• Develop and maintain robust ETL/data pipelines for large-scale operational data.
• Design and implement data governance models, catalogues, and metadata management capabilities.
• Ensure high standards for data quality, governance, discoverability, security, and compliance.
• Implement and manage Infrastructure as Code (IaC) solutions for Databricks and related cloud services.
• Enable automated, reliable, and reproducible infrastructure and platform environments.
• Design technical solutions for complex data and platform challenges.
• Collaborate with developers, Data Scientists, Machine Learning Engineers, and business stakeholders.
• Translate business and technical requirements into governed, secure, and production-ready data products.
• Contribute to the continuous development, operation, and maintenance of the data platform.

Required Skills

Databricks, Apache Spark, Data Engineering, Data Architecture, Data Governance, Python, SQL, ETL, Data Pipelines, Infrastructure as Code (IaC), AWS, Cloud Data Platforms, Data Quality, Metadata Management, Data Catalogues, Data Discoverability, Data Security, Data Platform Architecture.