Senior Analytics Engineer

Shine; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Hybrid work policy

Lunch provided

Modern office in prime location

International environment

Zusammenfassung

Shine is seeking a Senior Analytics Engineer in Berlin to build and scale a unified dbt-based modeling framework on Snowflake. You will design, build, and maintain scalable data models that empower cross-entity analytics across Shine's diverse product portfolio.

Join a data-focused team, work hybrid, and collaborate with skilled professionals while ensuring data quality and governance. Applicants should have 5+ years of experience and strong technical proficiency, particularly with SQL, dbt, and Snowflake.

Qualifikationen

• 5+ years in Analytics Engineering or a closely related role.
• Expert-level SQL and hands-on experience with dbt.
• Strong working knowledge of Snowflake or similar cloud data platforms.
• Ability to engage with technical peers and non-technical stakeholders.
• Fluent in English.

Aufgaben

• Design, build, and maintain scalable dbt core models on Snowflake.
• Ensure Data Analysts can deliver analytical work through reliable dbt models.
• Own model testing, documentation, and data quality frameworks.
• Drive AI-assisted workflows within the AE function.
• Work closely with Data Engineering on ingestion pipelines.
• Evolve and enforce internal standards for SQL styling and documentation.

Kenntnisse

SQL

dbt

Data Governance

Cross-team Collaboration

Python

Cloud Data Platforms

Tools

Snowflake

Omni

Looker

Jobbeschreibung

Our Data team is organised into three complementary pillars: Data Engineering, Analytics Engineering, and Product/Revenue Analytics. This structure ensures analysts spend less time fixing broken models and more time generating high-value insights.

Analytics Engineering sits at the core of this model, acting as the bridge between raw data infrastructure and business‑ready analytics. We are looking for a Senior Analytics Engineer to help build and scale a unified, dbt‑based modelling framework on Snowflake, enabling consistent, cross‑entity analytics across Shine's growing portfolio of European products.

Your role as an Analytics Engineer

What’s in it for you?

• Platform-Level Impact: Your models will power the analytical output of the entire Data organisation, from executive steering dashboards to self‑serve analytics for Product, Revenue, CS, and Banking teams.
• Greenfield Architecture: Join at a pivotal moment as we consolidate SB & CPA data sources into a unified Shine reporting layer, with significant influence over how the foundation is built.
• Cross‑functional Visibility: Work closely with Data Engineers, Data Analysts, and senior stakeholders to shape how data is modelled, governed, and consumed across the organisation.
• A Stack in Progress: We work with Snowflake, dbt, Python, and Omni — and we're actively building and improving our data foundation. You'll have real ownership over how the stack evolves.
• Hybrid work policy: Enjoy a balanced mix of remote work and office collaboration.
• Modern, centrally located offices: Work from modern office spaces in prime city locations.
• An international environment: Join a diverse team with colleagues from across the globe.
• Lunch on us: When you're in the office, we've got lunch covered — a daily perk to keep you fueled and give the team a moment to connect.

Your responsibilities will include:

• Unified Data Modelling: Design, build, and maintain scalable dbt core models on Snowflake that support cross‑entity analytics across SB & CPA domains, including revenue, NPS, and customer activity.
• Analyst Enablement: Ensure Data Analysts can deliver the majority of their analytical work through well‑documented, reliable, and reusable dbt models, reducing ad‑hoc data wrangling and accelerating insight delivery.
• Data Governance & Quality: Own model testing, documentation, and data quality frameworks. Define and enforce dbt best practices across the Analytics Engineering team.
• Tooling & Automation: Drive AI‑assisted workflows within the AE function, including automated code review via GitHub Copilot and LLM context management for the dbt repository.
• Cross‑team Collaboration: Work closely with Data Engineering on ingestion pipelines and with Data Analysts on business use case requirements, ensuring the modelling layer serves both technical and business needs.
• Standards & Best Practices: Evolve and enforce internal standards for SQL styling, model architecture, peer review, and documentation across the team.

Job located in Berlin or Copenhagen, with possibility of two remote working days per week. You also have the opportunity to work from our offices in Paris and Amsterdam when you are in town.

About you

• Experience: 5+ years in Analytics Engineering or a closely related role (e.g., Data Engineering with a strong modelling focus), ideally in a fast‑paced, multi‑product environment.
• Technical Excellence: Expert‑level SQL and deep hands‑on experience with dbt — including modelling patterns, testing frameworks, and documentation standards.
• Platform Proficiency: Strong working knowledge of Snowflake or similar cloud data platforms (e.g., BigQuery, Redshift); familiarity with data ingestion tools and BI platforms (e.g., Omni, Looker) is a strong plus.
• Engineering Mindset: You treat data models as production‑grade software — with version control, CI/CD, and maintainability built in from the start.
• Communication: Able to engage effectively with both technical peers and non‑technical stakeholders, translating business requirements into robust data models.
• Language: Fluent in English, both written and spoken; excited to work in a diverse, international setting.

Equal Opportunity Employer

We follow the principle of equal treatment to consider all job applicants and do not discriminate based on their gender, sexual orientation, color, racial or ethnic origin, religion, disability, etc. as per applicable law.