(Senior) Data Engineer (Snowflake) – Building and Technical Trade, K Group

K-ryhmä; Helsinki; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Mobile phone benefit

Staff discounts in K Group stores

Occupational health care

Well-being and sports benefit (ePassi)

Car benefit

Job summary

Kesko is seeking a (Senior) Data Engineer to shape a Snowflake-based data platform for analytics, AI and business development within Building and Technical Trade. The role blends hands-on data engineering with architectural influence, reporting to the Central Data & Analytics Platforms team.

You will collaborate with BI analysts, analytics engineers and business stakeholders, building scalable dbt pipelines and data models, while mentoring colleagues and advancing standards across the data

Qualifications

• Snowflake, dbt and SQL hands-on data engineering
• DevOps mindset with CI/CD in a data context
• Experience with data warehousing/ETL and SAP BW data models
• Familiarity with cataloging, lineage, semantic views and data governance
• Big-picture thinking across source data, modelling, transformations and reporting
• Mentoring and knowledge sharing to grow data engineering practices
• Interest in applying AI to speed up development and maintenance
• Excellent English communication and teamwork skills
• Self-driven with initiative and independent problem solving
• Experience with SAP, Aspect4 or web-based business apps in building/technical trade

Responsibilities

• Own the technical direction of Snowflake solutions for BTT
• Define Snowflake development practices and modelling approaches
• Mentor BTT data team members and collaborate with BI analysts and stakeholders
• Design, build and optimize dbt-based data pipelines and data models

Skills

Snowflake

dbt

SQL

Data modelling

CI/CD

Data governance

SAP BW

Mentoring

AI mindset

Communication

Tools

Aspect4

SAP BW transformations

Job description

Snowflake is becoming the foundation of Building and Technical Trade’s future data ecosystem. As a (Senior) Data Engineer, you’ll help define how data is modelled, built and utilized across analytics, AI and business development. Rather than joining a fully established environment, you’ll have a rare opportunity to influence the development practices, data models and technical standards that will shape our future data platform. We are open to candidates from experienced Data Engineer to Senior Data Engineer level. The exact scope and level of responsibility can be shaped based on your background and expertise.

You will work as part of Kesko’s Central Data & Analytics Platforms team while collaborating closely with Building and Technical Trade’s Data, AI and ESG team. Together with BI analysts, analytics engineers, data experts and business stakeholders, you’ll turn business needs into scalable and reliable data solutions that support both daily decision-making and future growth. We are working in a hybrid workplace model where we combine office days at K Kampus in Kalasatama and remote work to best suit both the role and the team. Come and join our professional team and start building your own kind of career in K Group!

What is the role about?

As a (Senior) Data Engineer, you will be a key data expert helping BTT build a modern Snowflake-based data foundation for analytics, AI and business development. This is a hands‑on senior role with strong architectural influence: you will help shape how Snowflake development is done in BTT, while working closely with the BTT Data, AI and ESG team and Keskos central data platform experts. In addition to building solutions, you will help grow the teams Snowflake capabilities through collaboration, mentoring and practical examples.

Your key responsibilities include:

• Technical ownership: owning the technical direction of BTTs Snowflake solutions and ensuring that solutions are reliable, maintainable and aligned with agreed platform principles
• Best practices and architecture: defining BTTs Snowflake development practices, including modelling approach, warehouse strategy, documentation, quality and maintainability, while contributing to the broader data architecture and innovation
• Mentoring and collaborating: coaching BTT data team members towards stronger Snowflake competence, collaborating with BI analysts, analytics engineers and business stakeholders, and translating business needs into practical data solutions
• Building solutions: designing, building and optimizing scalable dbt-based data pipelines, transformations and logical and physical data models

Who are we looking for?

We are looking for an experienced data engineer who enjoys hands‑on building but also thinks about the bigger picture, and who genuinely wants to help others grow.

We are not looking for unicorns, but the more of below capabilities are found the better youd fit to the ideal candidate profile:

• Snowflake, dbt and SQL: strong hands‑on experience in data engineering with Snowflake, proficiency with dbt for transformations, efficient SQL skills and solid data modelling capability. (This one is actually mandatory)
• Modern engineering practices: experience with version control, CI/CD pipelines and a DevOps mindset in a data context; what we develop, we also support.
• Background in data warehousing/ETL: You have designed or maintained data pipelines with different technologies. Experience with SAP BW data models and transformations is beneficial, as it helps in understanding our legacy environment.
• Data management mindset: Familiarity with data cataloging, lineage tools, semantic views, or overall data governance frameworks. You care about documentation and data quality.
• Big picture view: the ability to make sound technical choices across source data, data modelling, transformations and reporting needs, not just build individual pipelines.
• Mentoring ability: experience and motivation in sharing knowledge, supporting colleagues and contributing to the development of data engineering practices.
• AI mindset: interest in leveraging AI to speed up and improve development and maintenance processes.
• Communication: excellent teamwork and communication skills, and the ability to explain complex data topics to both technical and non-technical colleagues. Fluency in English is required (our working language). Finnish or other Nordic language skills are beneficial but not necessary.
• Self‑driven and proactive attitude: You take initiative to improve things and arent afraid to suggest new ideas. You are solution-oriented and able to work independently when needed, but also know when to ask for help or input.
• Relevant experience with SAP, Aspect4 or web-based business application data as well as familiarity with chain-operated wholesale and/or merchant‑led retail business models, especially in the building and technical trade sector.

Please note that the role is in Finland and you will need the existing right to work here. Kesko is unable to sponsor work permits or visas.

Why join us?

We offer you the chance to work in a key role, building a modern data platform in a large and diverse organization. Rather than stepping into a fully established environment, you’ll have a rare opportunity to help define the development standards, modelling principles and engineering practices that will shape how BTT utilizes Keskos Snowflake platform.

With us you get:

• a genuinely impactful, hands‑on role in building our Snowflake data platform from the ground up
• a supportive community of expert colleagues in both BTT and Keskos central data teams
• the opportunity to influence the technical direction, best practices and ways of working of our future data platform
• modern work tools and numerous opportunities to learn, develop and grow your career in a large, international organization
• extensive K Group employee benefits, including a mobile‑phone benefit, culture, well‑being and sports benefit (ePassi Flex), staff discounts in K Group stores, own occupational health care, leisure‑time accident insurance, and a car benefit according to our company policy.
• partner benefits related to optical stores, accommodation and travel, as well as sports and wellbeing services
• a flexible hybrid working model with at least one office day per week