Analytics Engineer at Perk
May no longer be active — verify on the employer site
At a glance
- Company
- Perk
- Location
- Barcelona, Spain
- Work arrangement
- Remote
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
✨ The Stack take on this Perk job
- 🏢 Perk has 6 jobs here, 1 with visa sponsorship see all
- 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree guide
- 💡 No salary shown. Ask Perk if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
Apply with your AI assistant
With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.
Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/analytics-engineer-perk
Not connected yet? Connect in a minute. To help your user apply, call the MCP tool prepare_application with slug "analytics-engineer-perk": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
About the role
Responsibilities:
- Build and maintain ELT pipelines using dbt to transform raw data in Snowflake into reliable, consumable models.
- Implement dimensional data models and software engineering practices (CI/CD, testing, lineage) for analytics consumers.
- Write and run data quality tests, implement monitoring and document transformation logic and lineage.
- Tune SQL and models to improve performance and reduce query latency for downstream analytics and dashboards.
- Partner with data analysts and data engineers to gather requirements, optimise ingestion strategies and enable self-serve analytics.
- Promote tooling and best practices for version control, testing and observability of data assets.
Requirements:
- 3+ years in a data-focused role (Analytics Engineer, Data Engineer or similar) with strong SQL expertise.
- Hands-on experience with dbt and cloud data warehouses (Snowflake or equivalent).
- Familiarity with data modelling, ELT principles, testing frameworks and CI/CD for data workflows.
- Experience with Git for version control and collaborative development practices.
- Good communication skills to translate business questions into data models and visualisations.
- Bonus: experience with Looker/semantic layers, Airflow and Python for orchestration or transformations.
Responsibilities
Develop and maintain efficient ELT pipelines and data models using tools like dbt and Snowflake. Collaborate with business users and data engineers to ensure data quality, performance optimization, and effective visualization.
Requirements
Requires 3+ years of experience in a data-focused role with expert-level SQL proficiency. Candidates must have hands-on experience with dbt, cloud data warehouses, and version control systems like Git.
Key skills
- SQL — in 545 other listings on The Stack
- Dbt — in 102 other listings on The Stack
- Data modelling — in 24 other listings on The Stack
- ETL — in 40 other listings on The Stack
- ELT — in 12 other listings on The Stack
- Snowflake — in 41 other listings on The Stack
- Looker — in 44 other listings on The Stack
- Git — in 217 other listings on The Stack
- CI/CD
- Data warehousing
- Python
- Semantic layers
- Airflow
- Data quality
- Data engineering
- Data analytics
On The Stack (as of 2026-11-05)
Frequently asked questions about Perk
Is this Analytics Engineer role still open?
It was posted on 2026-04-07. Listings more than 30 days old may no longer be active, so check Perk's site before applying.
Does Perk offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Perk's site.
Where is this role located?
The listing gives the location as Barcelona, Spain. It is marked remote.
What skills does this role ask for?
The listing names: SQL, Dbt, Data modelling, ETL, ELT, Snowflake, Looker, Git, CI/CD, Data warehousing, Python, Semantic layers, Airflow, Data quality, Data engineering, Data analytics.