Data / Analytics Engineer

We are looking for a Data / Analytics Engineer to join an ongoing initiative focused on building a scalable, AI-driven data platform for product analytics.
This is a new role within an existing analytics team, where you’ll help architect and build the core data layer that will enable self-service analytics across the company. The role combines hands-on data engineering with forward-looking AI automation initiatives.

Client/Project: is a global DevOps company.
The project focuses on building a Gold data layer that enables product and business stakeholders to access ready-to-use, reliable datasets without relying on ad-hoc requests.
It’s a complex and high-impact domain, where:

• you will design and build a scalable data model from multiple sources (Snowplow, FullStory, internal systems)
• the team is transitioning to an AI-first development approach (Cloud Code, Codeium - no manual SQL writing mindset)
• AI agents are a core part of the vision (automating data transformations and schema evolution)
• the work has a direct impact on decision-making across a ~600-person product organization

Cooperation: full-time, short-term (6 months with the high possibility of prolongation)
Stage: existing (early stage of data platform transformation - Gold layer not yet built)
Position: new
Timezone requirements: CET ±2h preferred
Location requirements: Remote
Client team: Analytics Guild (up to 9 people)
English: Upper-Intermediate+

Requirements:

• 4+ years of experience in Data Engineering / Analytics Engineering (Mid+ or Senior level)
• Strong SQL skills (advanced: window functions, CTEs, joins, performance tuning)
• Hands-on experience with dbt (models, testing, documentation)
• Experience with Amazon Redshift (or strong AWS DWH background)
• Solid understanding of data modeling (dimensional modeling, medallion architecture)
• Experience with Python for data pipelines, integrations, or data quality
• Practical experience using AI coding tools (Copilot, Codeium, Claude, etc.) in daily work
• Experience working with product/event data
• Strong ownership and ability to work autonomously
• Clear communication skills and the ability to work with non-technical stakeholders

Nice to have:

• Experience building or experimenting with AI agents (LangChain, OpenAI API, etc.)
• Familiarity with Snowplow or similar event tracking tools
• Familiarity with FullStory or behavioral analytics tools
• Experience with AWS ecosystem (S3, IAM, etc.)
• Experience with orchestration tools (e.g., Airflow)
• Understanding of BI tools (e.g., Looker) and data consumption patterns

Responsibilities:
This role evolves in two main phases:
Phase 1 (Months 1-4): Building the Gold Layer

• Design and implement Gold-layer data models in dbt
• Transform raw and Silver-layer data into business-ready datasets
• Integrate multiple data sources (Snowplow, FullStory, internal systems)
• Collaborate with the analytics team to translate business needs into reusable models
• Identify and fix inconsistencies in existing data layers
• Establish data quality, monitoring, and observability practices

Phase 2 (Months 4-6+): Automation & AI

• Design and build AI agents for automating data workflows
• Develop systems that detect new incoming events and suggest schema placement
• Automate maintenance of the Gold layer
• Explore and implement AI-driven approaches for data transformations

Ownership areas:

• Gold data layer architecture
• Data quality and reliability
• AI-driven automation of data workflows
• Collaboration with analytics stakeholders
• Long-term scalability of the data platform

Benefits from 8allocate:

• Team & Culture: Team events, offsites, and a culture that keeps people connected.
• Learning & Development: Budget for courses, certifications, and conferences.
• Well-being: Flexible support in line with company policy, with options to support your physical and mental well-being (sport, mental health, or medical insurance).
• Rest & Recovery: Paid vacation and sick leave.