Engineering Manager to Data & Analytics Engineering
NOBA Bank GroupSweden2 days ago
Full-timeEngineering, Information Technology
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Are you ready to be a key contributor, leading the 'data way' within the Data & Analytics Engineering department of NOBA Bank by taking on a substantial role as an Engineering Manager?
About The Role
Data & Analytics Engineering consists of established subgroups with dedicated focuses on backend, frontend, and data management within data engineering. In this role, you will be the Engineering Manager for one of our subgroups and play a pivotal leadership role in further strengthening the data personnel and data technology aspects within Data & Analytics Engineering.
As the Engineering Manager, your focus will be on leading a team and data-related projects to enhance data capabilities, establish new solutions, leading migration projects on cloud data platforms, and manage the organization's vital asset – data.
Main Tasks
Hands-on experience with the following tools and technologies: Microsoft Azure, Databricks, DBT, Python, or similar.
To thrive and perform well in the role, we believe that you need to be:
You thrive in a fast-paced, evolving environment and stay adaptable as priorities shift. You’re energized by leading and developing people, building collaborative teams that deliver results. Tackling complex data challenges motivates you, and you approach them with curiosity and a solution-oriented mindset. You value learning, collaboration, and driving initiatives that strengthen our shared data platform.
In addition to this, it is important to us that you recognize yourself in our values: we are wholehearted, we collaborate and we take the lead.
Have you heard of NOBAVERSE?
In our NOBAVERSE, we value openness, trust, and diversity. Here, you can influence your own development and have fun along the way to achieving our goals – all in a workplace that’s a little extra bubbly! ✨
Read more about our employee value proposition on our careers page.
Read more about how our recruitment process works in the FAQ.
We care for your privacy and, with reference to the GDPR, would like to ask you not to include any sensitive personal data in your application, for examples information about ethnic origin, political opinions, religious beliefs or information about your health.
Read more about how we handle your personal data here.
If you have any questions or concerns about the position, please contact the responsible recruiter.
We look forward to receiving your application! 🙏✨
About The Role
Data & Analytics Engineering consists of established subgroups with dedicated focuses on backend, frontend, and data management within data engineering. In this role, you will be the Engineering Manager for one of our subgroups and play a pivotal leadership role in further strengthening the data personnel and data technology aspects within Data & Analytics Engineering.
As the Engineering Manager, your focus will be on leading a team and data-related projects to enhance data capabilities, establish new solutions, leading migration projects on cloud data platforms, and manage the organization's vital asset – data.
Main Tasks
- Leadership responsibility for managing one of the teams within our Data & Analytics Engineering function, specifically the Core Data Team consisting of 5 Data Engineers.
- Overseeing and owning data-related solutions, migrations, and projects within the data management area.
- Ensuring the effective utilization of data in data assets.
- Partial product ownership for planning, prioritization, and execution of your area's data projects.
- Technical oversight of your area's data solutions and guidance for stakeholders and your team.
- Providing strong technical leadership within data engineering, including guiding and ensuring best practices in development, migrations, and deployment, and leading technical implementations and rollouts of data solutions.
- A bachelor's or master's degree in computer science, data science, engineering, or a related field is required.
- Work experience of a minimum of 5 years in data engineering or a related field, with at least 2 years in a leadership or management role.
- Strong leadership and team management skills, with the ability to inspire, mentor, and lead a team of data professionals.
- Demonstrated technical leadership within data engineering, with experience leading deployments and driving the adoption of modern data engineering practices.
- Data engineering expertise, in-depth knowledge of data engineering and analytics principles, tools, and technologies, including data warehousing, ETL processes, data modeling, and data visualization.
- Project and product management skills, including data-related project planning with roadmaps, execution, and successful delivery.
Hands-on experience with the following tools and technologies: Microsoft Azure, Databricks, DBT, Python, or similar.
To thrive and perform well in the role, we believe that you need to be:
You thrive in a fast-paced, evolving environment and stay adaptable as priorities shift. You’re energized by leading and developing people, building collaborative teams that deliver results. Tackling complex data challenges motivates you, and you approach them with curiosity and a solution-oriented mindset. You value learning, collaboration, and driving initiatives that strengthen our shared data platform.
In addition to this, it is important to us that you recognize yourself in our values: we are wholehearted, we collaborate and we take the lead.
Have you heard of NOBAVERSE?
In our NOBAVERSE, we value openness, trust, and diversity. Here, you can influence your own development and have fun along the way to achieving our goals – all in a workplace that’s a little extra bubbly! ✨
Read more about our employee value proposition on our careers page.
Read more about how our recruitment process works in the FAQ.
We care for your privacy and, with reference to the GDPR, would like to ask you not to include any sensitive personal data in your application, for examples information about ethnic origin, political opinions, religious beliefs or information about your health.
Read more about how we handle your personal data here.
If you have any questions or concerns about the position, please contact the responsible recruiter.
We look forward to receiving your application! 🙏✨
Key Skills
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