Data Technical Lead

emagine; Stockholms kommun; Hybrid; SEK 1,200,000 - 2,000,000; Full time

Job summary

emagine Group is seeking a Data Technical Lead to steer a cloud-based Finance & Risk data platform in a regulated banking environment. You will collaborate with FR360 development teams and the Common Data Sourcing initiative to translate architecture into practical, scalable solutions.

You will define technical direction with architects and developers, ensuring system design aligns with business needs, maintainability, performance, security and testability while guiding data integration,

Qualifications

• Senior developer/Tech Lead with leadership experience
• Extensive experience with data platforms, warehousing, integration or engineering
• Ability to translate complex requirements into pragmatic technical solutions
• Strong understanding of non-functional requirements and security-by-design practices
• Hands-on with cloud data tooling (GCP, Airflow, DBT, Terraform, Python)
• Experience in data modelling and data architecture
• Structured, pragmatic approach to solving complex problems
• Professional proficiency in English

Responsibilities

• Establish the technical vision with the development team and translate it into working solutions
• Lead the team's technical work and support developers in complex design questions
• Collaborate with architects to map target architecture to system design and implementation
• Drive technical decisions with clear documentation and traceability
• Design with non-functional requirements and quality attributes in mind
• Support deliveries across FR360 and CDS including dependencies and data flows
• Promote DevOps, CI/CD and secure-by-design practices
• Challenge proposals and evaluate trade-offs with the teams
• Maintain strong communication with developers, architects, managers, product owners and stakeholders
• Help the team adapt to changing technical and working methods

Skills

Senior leadership

Data platforms

System design

NFRs and security by design

GCP, Airflow, DBT, Terraform, Python

Data modelling

Structured problem solving

English proficiency

Tools

Google Cloud Platform

Airflow

DBT

Terraform

Python

Job description

emagine is looking for a Data Technical Lead for a cloud data platform for Finance & Risk in banking

Start date: 2026-11-23

End date: 2027-04-30

Location: Stockholm (3 days onsite, 2 days remote

About The Role

As Technical Lead, you will work closely with the FR360 development teams and the broader Common Data Sourcing initiative. Your focus will be to provide technical leadership, support the teams in technical decisions and help turn the target architecture into practical, well-designed solutions.

You will establish and drive the technical direction together with developers, architects and other key stakeholders. An important part of the role is making sure that system design supports both business needs and non-functional requirements such as maintainability, performance, security and testability.

The future platform will support the reliable integration of more than 200 source systems and provide trusted, traceable, and historically consistent data for Finance and Risk use cases in a regulated banking environment.

You will act as an important link between the development teams and the architect community. While architects establish and drive the target architecture and solution intent, together with existing Tech Lead(s) you develop the technical design and drive the development towards that target architecture.

Within FR360 and CDS, you will work in a technically complex data environment involving data integration, data modelling, data pipelines, migration and modernization of legacy and mainframe-based solutions. The future Finance and Risk data platform is intended to provide trusted, traceable and historically consistent data for Finance and Risk use cases.

Key responsibilities include:

• Establish the technical vision and direction together with the development team and help turn it into working solutions.
• Lead the team's technical work and support developers in solving complex technical and design questions.
• Work closely with architects to translate target architecture into system design and implementation.
• Drive and facilitate technical and system design decisions, ensuring that important decisions are clearly documented.
• Develop technical designs with built-in quality and consideration of non-functional requirements (NFRs).
• Support technical deliveries across FR360 and Common Data Sourcing, including dependencies between teams, source systems and technical components.
• Promote good engineering practices such as DevOps, CI/CD and secure-by-design principles.
• Challenge technical proposals and help the teams evaluate pragmatic solutions and technical trade-offs.
• Communicate and collaborate closely with developers, architects, managers, product owners and other stakeholders.
• Drive the team to adapt to changes (technical and way of workings)

To thrive in this role, we believe you have:

• A strong background as a senior developer, Tech Lead or similar technical leadership role.
• Strong experience with data platforms, data warehousing, data integration or data engineering.
• Deep understanding of system design and data structures, with the ability to turn complex requirements into pragmatic technical solutions.
• Good understanding of non-functional requirements and engineering practices such as security by design and quality by design.
• Hands-on with Google Cloud Platform, Airflow, DBT, Data form, Terraform, Python
• Experienced working with data modelling
• A structured and pragmatic approach to solving complex technical problems
• Professional proficiency in English.

It is beneficial if you also have:

• Experience from banking, finance, or another regulated industry, preferably involving Finance and Risk data or regulatory reporting.
• Knowledge of enterprise data warehouse concepts, Data Vault 2.0, data lineage, historization, metadata, data quality, and relevant governance requirements such as BCBS 239.
• Experience migrating batch-based or mainframe data flows to cloud-native solutions.