Senior Databricks Data Engineer
Incluso ABSammanfattning
A global company in Gothenburg is seeking a Senior Data Engineer to join their Enterprise Analytics & Insights Team on a 5-month contract starting in October 2026, with potential for extension. The role involves designing and building scalable data platforms using Databricks, ensuring data reliability and governance, and collaborating with various stakeholders to meet data needs. This position requires on-site work in Gothenburg.Jobbet i korthet
Arbetstid
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Det här erbjuder vi
5-month limited contract with possibility of extension.Full-time consultant position with on-site work in Gothenburg.
Ansök senast: 2026-09-19
Publicerad: 2026-09-09
Beskrivning
We are looking for a Senior Databricks Data Engineer for a global company in Gothenburg.
Start is in Oct 2026, 5-months limited contract to begin with, possibility of extension after that.
bout the Role
As a Senior Data Engineer, you will use Databricks as a foundation to design, build, and enable scalable reporting, analytics, and AI-driven insights. You will ensure that business-critical data is reliable, secure, governed, and accessible for approved use across the organization.
As part of the Enterprise Analytics & Insights Team, you will work closely with business stakeholders, analytics specialists, platform teams, and source-system owners to translate data needs into sustainable technical solutions. The Senior Data Engineer strengthens the organization's data capabilities through robust architecture, integration, automation, and continuous improvement.
Key Responsibilities
- Design, develop, and maintain scalable data platforms and solutions using Databricks, including data lakes, lakehouses, data warehouses, enterprise data services, and ETL/ELT frameworks.
- Build, optimize, and support ETL/ELT pipelines and data integration workflows, integrating and harmonizing data from ERP, HR, Finance, CRM, and other enterprise systems for analytics and business consumption.
- Develop trusted and reusable data products through data modeling, metadata management, and data architecture practices while ensuring data quality, lineage, security, governance, privacy, and regulatory compliance.
- Ensure reliable and efficient data operations through monitoring, testing, automation, performance tuning, cost optimization, and recovery practices.
- Partner with business, analytics, and engineering teams to translate requirements into scalable technical solutions, while driving engineering excellence through documentation, mentoring, technical reviews, and continuous improvement.
Skill requirements
Knowledge:
Advanced knowledge of data engineering principles, enterprise data architecture, data integration, and cloud-based data platforms
Strong understanding of ETL/ELT patterns, batch and streaming concepts, orchestration, dependency management, and error handling.
Advanced knowledge of SQL, data modelling, dimensional modelling, data warehousing, lakehouse concepts, and analytics-ready data design.
Knowledge of data governance, quality, lineage, metadata, access control, privacy, retention, and secure data handling.
Understanding of API-based integration, file-based exchange, database connectivity, and common enterprise source-system patterns.
Knowledge of DevOps and DataOps practices, including version control, automated testing, CI/CD, infrastructure configuration, and release management.
Familiarity with analytics, business intelligence, AI, and machine learning consumption requirements.
Experience:
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field, or equivalent practical experience.
5+ years of experience in data engineering, data platform development, Databricks, integration engineering, or a comparable technical role, designing and delivering scalable cloud-based data solutions and enterprise data pipelines.
Proven experience integrating data from multiple business domains and source systems into governed analytics platforms, supported by robust data models and structures for reporting, analytics, and advanced data use cases.
Experience implementing and supporting production-grade data solutions, including data quality controls, monitoring, troubleshooting, operational support, and continuous improvement.
Experience collaborating with business and technical stakeholders, conducting technical reviews, and supporting the development and mentoring of other engineers.
Skills:
Advanced SQL and strong programming or scripting capability for data transformation and automation.
Strong hands-on capability with cloud data services, orchestration tools, distributed processing, and data storage technologies.
Ability to design secure, reliable, maintainable, and cost-conscious data solutions.
Strong analytical troubleshooting skills across complex data flows, dependencies, and platform components.
Ability to translate business and analytical requirements into clear technical architecture and implementation choices.
Strong documentation, stakeholder communication, collaboration, and technical facilitation skills.
Proactive and structured way of working, with strong attention to quality, security, governance, and operational sustainability.
Ability to work effectively in a cross-functional, international, and evolving enterprise environment.
This is a full-time consultant position in Gothenburg through Incluso. Start is in Oct 2026, 5 months limited contract to begin with. This role is 100% onsite in Gothenburg.
Please submit your CV as soon as possible since we will review the applications on an on-going basis.
For more information about this role, please contact Kanika Singhal recruiter at Incluso.
Start is in Oct 2026, 5-months limited contract to begin with, possibility of extension after that.
bout the Role
As a Senior Data Engineer, you will use Databricks as a foundation to design, build, and enable scalable reporting, analytics, and AI-driven insights. You will ensure that business-critical data is reliable, secure, governed, and accessible for approved use across the organization.
As part of the Enterprise Analytics & Insights Team, you will work closely with business stakeholders, analytics specialists, platform teams, and source-system owners to translate data needs into sustainable technical solutions. The Senior Data Engineer strengthens the organization's data capabilities through robust architecture, integration, automation, and continuous improvement.
Key Responsibilities
- Design, develop, and maintain scalable data platforms and solutions using Databricks, including data lakes, lakehouses, data warehouses, enterprise data services, and ETL/ELT frameworks.
- Build, optimize, and support ETL/ELT pipelines and data integration workflows, integrating and harmonizing data from ERP, HR, Finance, CRM, and other enterprise systems for analytics and business consumption.
- Develop trusted and reusable data products through data modeling, metadata management, and data architecture practices while ensuring data quality, lineage, security, governance, privacy, and regulatory compliance.
- Ensure reliable and efficient data operations through monitoring, testing, automation, performance tuning, cost optimization, and recovery practices.
- Partner with business, analytics, and engineering teams to translate requirements into scalable technical solutions, while driving engineering excellence through documentation, mentoring, technical reviews, and continuous improvement.
Skill requirements
Knowledge:
Advanced knowledge of data engineering principles, enterprise data architecture, data integration, and cloud-based data platforms
Strong understanding of ETL/ELT patterns, batch and streaming concepts, orchestration, dependency management, and error handling.
Advanced knowledge of SQL, data modelling, dimensional modelling, data warehousing, lakehouse concepts, and analytics-ready data design.
Knowledge of data governance, quality, lineage, metadata, access control, privacy, retention, and secure data handling.
Understanding of API-based integration, file-based exchange, database connectivity, and common enterprise source-system patterns.
Knowledge of DevOps and DataOps practices, including version control, automated testing, CI/CD, infrastructure configuration, and release management.
Familiarity with analytics, business intelligence, AI, and machine learning consumption requirements.
Experience:
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field, or equivalent practical experience.
5+ years of experience in data engineering, data platform development, Databricks, integration engineering, or a comparable technical role, designing and delivering scalable cloud-based data solutions and enterprise data pipelines.
Proven experience integrating data from multiple business domains and source systems into governed analytics platforms, supported by robust data models and structures for reporting, analytics, and advanced data use cases.
Experience implementing and supporting production-grade data solutions, including data quality controls, monitoring, troubleshooting, operational support, and continuous improvement.
Experience collaborating with business and technical stakeholders, conducting technical reviews, and supporting the development and mentoring of other engineers.
Skills:
Advanced SQL and strong programming or scripting capability for data transformation and automation.
Strong hands-on capability with cloud data services, orchestration tools, distributed processing, and data storage technologies.
Ability to design secure, reliable, maintainable, and cost-conscious data solutions.
Strong analytical troubleshooting skills across complex data flows, dependencies, and platform components.
Ability to translate business and analytical requirements into clear technical architecture and implementation choices.
Strong documentation, stakeholder communication, collaboration, and technical facilitation skills.
Proactive and structured way of working, with strong attention to quality, security, governance, and operational sustainability.
Ability to work effectively in a cross-functional, international, and evolving enterprise environment.
This is a full-time consultant position in Gothenburg through Incluso. Start is in Oct 2026, 5 months limited contract to begin with. This role is 100% onsite in Gothenburg.
Please submit your CV as soon as possible since we will review the applications on an on-going basis.
For more information about this role, please contact Kanika Singhal recruiter at Incluso.
Ansök till tjänsten
Senior Databricks Data Engineer
OM FÖRETAGET
Incluso AB
