Analytics Engineer

TeamBlue Belgium · Belgium, Remote (Belgium)

Remote Full-time Not specified Operations

Job Description

Data Management:Ingests raw data from all sources into the Databricks platform. Owns the bronze/raw layer.
Analytics Engineering → YOU:Takes raw data, conforms and transforms it, builds KPI definitions and semantic models, and delivers reliable data products to the presentation layer.
Analytics & Insights:Consumes the analytics-ready data to produce dashboards, reports and strategic insights for the business.

Key responsibilities:

Data Transformation & Modelling
Design and build robust dbt models on Databricks that transform raw, ingested data into clean, conformed, and analytics-ready datasets.
Define and implement KPI logic in collaboration with business and analytics stakeholders, ensuring consistent definitions across domains.
Maintain and evolve the semantic/presentation layer, ensuring data products are reliable, tested, documented, and performant.
Apply software engineering best practices to analytics code: version control, testing, CI/CD, and documentation.

Cross-Domain Data Exploration
Independently onboard new data domains (e.g. marketing attribution, product usage, customer care, subscription data) with limited guidance – exploring the data, understanding its structure and meaning, and deciding how to best model it.
Proactively engage business partners and domain owners to understand context, validate assumptions, and align on KPI definitions.
Identify data quality issues early and work with the Data Management team to resolve them at source.

Collaboration & Enablement
Act as the connective tissue between data engineers and analysts: translating analytical needs into engineering tasks, and surfacing data realities back to the business.
Work with the Analytics team to ensure the presentation layer meets reporting and self-service needs.
Contribute to data governance: naming conventions, lineage documentation, and model cataloguing.
Support the broader team in extending analytics coverage to new brands and domains over time.

Required Experience/skills:
5+ years of experience in analytics engineering, data engineering, or a closely related data role.
Strong, hands-on proficiency with dbt (dbt Core or dbt Cloud) – this is a core requirement.
Experience working on Databricks (or a comparable cloud data platform such as Snowflake or BigQuery).
Solid understanding of dimensional modelling, data vault, or similar data warehousing patterns.
SQL excellence: complex transformations, window functions, query optimisation.
Proven ability to work autonomously across multiple data domains simultaneously, figuring out unfamiliar data with limited documentation.
Strong analytical mindset: able to interrogate data critically, spot anomalies, and validate logic end-to-end.
Excellent communication skills – comfortable talking directly with business stakeholders to elicit requirements and explain data concepts.
Experience working across diverse data domains (e.g. marketing, product analytics, customer care, financial/subscription data).
Right to Work

“Come as you are“

Everyone is welcome here.Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.

ESG

“At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it outhere.”

#LI-CC1

Department

Data & Analytics

Locations

Gent – Belgium, Florence – Italy, Lisboa – Portugal, Barcelona – Spain, Hamburg- Germany

Remote status

Fully Remote

Employment type

Full-time

Seniority

Mid – Senior level

LinkedIn Company Page

team.blue

Gent – Belgium Florence – Italy Lisboa – Portugal Barcelona – Spain Hamburg- Germany

About team.blue Global

The most trusted digital enabler

team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and to empower businesses with innovative digital services.

Click here to read more about team.blue

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Requirements

Familiarity with SaaS GTM tooling and metrics – e.g. Amplitude, HubSpot, or similar marketing and product analytics platforms.
Experience with Python for data transformation or pipeline orchestration.
Exposure to BI/visualisation layers (e.g. Looker, Tableau, Power BI) and how they consume semantic models.
Experience in a multi-brand or portfolio company context.
Background in a consulting or contractor capacity: comfortable delivering impact quickly in complex environments.
Right to Work
At any stage, please be prepared to provide proof of eligibility to work in the
country you’re applying for. Unfortunately, we are unable to support relocation
packages or sponsorship visas
” Come as you are “
Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.
“At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here .”