Senior Data Engineer
Enity Bank GroupSammanfattning
Enity Bank Group is transforming the Nordic mortgage market by providing inclusive banking solutions. As a Senior Data Engineer, you will develop and maintain data pipelines and platforms that facilitate business decision-making and ensure data quality across Sweden, Norway, and Finland. This role is part of the Data & Analytics team, reporting to the Chief Data Officer, and involves collaboration with various stakeholders to modernize data architecture and meet regulatory requirements.Jobbet i korthet
Arbetstid
heltid
Förmåner
Competitive compensation package with flexibility based on experience.Generous range of benefits to support work-life balance.
Ansök senast: 2650-08-06
Publicerad: 2026-05-19
Beskrivning
About Enity Bank Group
At Enity, we believe in people's potential. We're challenging the Nordic mortgage market by making banking more inclusive, sustainable, and human. As a listed company with the brands Bluestep Bank, Bank2 and 60plusbanken, we offer mortgages to those often excluded by traditional banks - for example, due to self-employment, employment type, age, or credit history.We operate across Sweden, Norway and Finland, and we're on a mission to shape the future of banking - together.
About the role
As a Senior Data Engineer in Enity, you will build and maintain secure and reliable data pipelines and platforms that support business decision-making, reporting, analytics, risk management and compliance. The role involves working with large volumes of financial and other data, ensuring data quality and governance, integrating data from multiple systems, and collaborating with analysts, product teams, and other stakeholders across the bank. In addition, you will help modernize our data architecture, improve performance, and ensure solutions meet regulatory and security requirements.
As a data engineer at Enity you will report to the Chief Data Officer and be part of the Data & Analytics team, a tightly knit group of professionals consisting of data engineers, analysts, a product owner, and area leads for Credit, Collection and Valuation.
Key Responsibilities
• Design and implement robust data pipelines and data integration solutions.
• Develop and maintain databases and data warehouses.
• Ensure the quality, reliability, and performance of the data infrastructure.
• Collaborate with data analysts, data scientists, and other stakeholders to understand their data requirements and ensure seamless data flow.
• Implement data governance and security measures to protect sensitive information.
Main tasks
• Develop, construct, test, and maintain architectures, such as databases and processing systems.
• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
About you
We're looking for someone who is not only technically strong, but also collaborative, curious, and a hands-on, action-oriented team player who enjoys taking ownership and getting things done.
As a small, tight-knit team, personal characteristics matter a lot - we value team players who take ownership, communicate openly, support their colleagues, and enjoy contributing to a positive and ambitious working environment.
Required skills and competencies
• A minimum of five years of experience working as a data engineer.
• Strong expertise with regards to data pipeline and workflow management tools.
• Knowledge of various data storage and processing solutions (e.g., relational databases, data lakes, etc).
• Strong problem-solving skills and attention to detail.
• Proficiency in SQL, Python, and other programming languages used in data engineering.
• Experience with cloud services such as AWS, Azure, or Google Cloud Platform.
• A collaborative, curious and pragmatic mindset with a strong getting things done mentality.
We are really impressed if you also:
• Have experience working with and/or migrating to Microsoft Fabric, or experience with the Microsoft Azure Data stack in general.
• Experience with using and/or enabling LLMs for data engineering and data science tasks, including building and maintaining RAG implementations, agentic systems, etc.
• Proficiency in Swedish is meritorious but not required.
We offer
We offer a competitive compensation package complemented by a generous range of benefits, and some flexibility to support your work-life balance.
For this position, we offer a monthly salary starting at SEK 60.000. However, we recognize that experience and unique expertise matter, so there is flexibility to offer a higher salary for the right candidate.
Sounds interesting?
We would be happy to see your application as soon as possible as the selection is ongoing. If you would like more information or have questions about the role, please contact HR@enity.com. We look forward to hear from you!
Embracing inclusivity, we value each candidate based on their skills and experience. There is no need to include a photo in your application.
Department Data & Tech Role Data and Analytics Locations Stockholm
At Enity, we believe in people's potential. We're challenging the Nordic mortgage market by making banking more inclusive, sustainable, and human. As a listed company with the brands Bluestep Bank, Bank2 and 60plusbanken, we offer mortgages to those often excluded by traditional banks - for example, due to self-employment, employment type, age, or credit history.We operate across Sweden, Norway and Finland, and we're on a mission to shape the future of banking - together.
About the role
As a Senior Data Engineer in Enity, you will build and maintain secure and reliable data pipelines and platforms that support business decision-making, reporting, analytics, risk management and compliance. The role involves working with large volumes of financial and other data, ensuring data quality and governance, integrating data from multiple systems, and collaborating with analysts, product teams, and other stakeholders across the bank. In addition, you will help modernize our data architecture, improve performance, and ensure solutions meet regulatory and security requirements.
As a data engineer at Enity you will report to the Chief Data Officer and be part of the Data & Analytics team, a tightly knit group of professionals consisting of data engineers, analysts, a product owner, and area leads for Credit, Collection and Valuation.
Key Responsibilities
• Design and implement robust data pipelines and data integration solutions.
• Develop and maintain databases and data warehouses.
• Ensure the quality, reliability, and performance of the data infrastructure.
• Collaborate with data analysts, data scientists, and other stakeholders to understand their data requirements and ensure seamless data flow.
• Implement data governance and security measures to protect sensitive information.
Main tasks
• Develop, construct, test, and maintain architectures, such as databases and processing systems.
• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
About you
We're looking for someone who is not only technically strong, but also collaborative, curious, and a hands-on, action-oriented team player who enjoys taking ownership and getting things done.
As a small, tight-knit team, personal characteristics matter a lot - we value team players who take ownership, communicate openly, support their colleagues, and enjoy contributing to a positive and ambitious working environment.
Required skills and competencies
• A minimum of five years of experience working as a data engineer.
• Strong expertise with regards to data pipeline and workflow management tools.
• Knowledge of various data storage and processing solutions (e.g., relational databases, data lakes, etc).
• Strong problem-solving skills and attention to detail.
• Proficiency in SQL, Python, and other programming languages used in data engineering.
• Experience with cloud services such as AWS, Azure, or Google Cloud Platform.
• A collaborative, curious and pragmatic mindset with a strong getting things done mentality.
We are really impressed if you also:
• Have experience working with and/or migrating to Microsoft Fabric, or experience with the Microsoft Azure Data stack in general.
• Experience with using and/or enabling LLMs for data engineering and data science tasks, including building and maintaining RAG implementations, agentic systems, etc.
• Proficiency in Swedish is meritorious but not required.
We offer
We offer a competitive compensation package complemented by a generous range of benefits, and some flexibility to support your work-life balance.
For this position, we offer a monthly salary starting at SEK 60.000. However, we recognize that experience and unique expertise matter, so there is flexibility to offer a higher salary for the right candidate.
Sounds interesting?
We would be happy to see your application as soon as possible as the selection is ongoing. If you would like more information or have questions about the role, please contact HR@enity.com. We look forward to hear from you!
Embracing inclusivity, we value each candidate based on their skills and experience. There is no need to include a photo in your application.
Department Data & Tech Role Data and Analytics Locations Stockholm
Ansök till tjänsten
Senior Data Engineer
OM FÖRETAGET
Enity Bank Group
