Senior Analytics Engineer

Kilo™; Barcelona; Híbrido; EUR 47.000 - 67.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

On-site gym

Flexible remote day

Hybrid work

Referral bonus

Descripción de la vacante

Bioma's analytics team builds the analytics engineering layer powering reporting, experimentation, and decision-making across the company using dbt and BigQuery.

You will design scalable data models, implement robust tracking foundations, and ship data products while collaborating with cross-functional teams and non-technical stakeholders to drive impact.

You will mentor teammates, uphold data quality, and contribute to CI/CD workflows in a fast-growing analytics environment.

Formación

• 3+ years of experience in analytics engineering, BI engineering, or data engineering with strong data modeling focus.
• Strong SQL skills and Python for analytics workflows and automation.
• Hands-on experience with dbt, BigQuery, Looker, and CI/CD practices.
• Experience with marketing and website tracking concepts (events, attribution, funnels) is a plus.
• Strong problem-solving, communication, and ability to align stakeholders on definitions.

Responsabilidades

• Build and maintain a scalable analytics engineering layer in dbt, including clean models, marts, shared dimensions, and metric-ready tables.
• Improve tracking and instrumentation across domains; monitor data quality for accuracy and completeness.
• Build data products and datasets for marketing performance, customer lifecycle models, and experimentation-ready tables.
• Improve workflows with naming conventions, data modeling standards, data quality testing, templates, and CI/CD.
• Communicate clearly with cross-functional teams and non-technical stakeholders.
• Support warehousing, reporting, and analytics solutions across the organization.

Conocimientos

SQL

Python

dbt

BigQuery

Looker

CI/CD

Data Modeling

Data Quality

Stakeholder Communication

Herramientas

dbt

BigQuery

Looker

CI/CD tooling

Descripción del empleo

About The Team

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The analytics team builds and maintains the analytics engineering layer that powers reporting, experimentation, and decision-making across the company. The team focuses on creating clean, scalable data models, well-defined metrics, and reliable tracking foundations using dbt and BigQuery.

Get ready to

• Build and maintain a scalable analytics engineering layer in dbt, including clean models, marts, shared dimensions, and metric-ready tables
• Improve tracking and instrumentation across domains, and identify new opportunities where data can add value. Implement and monitor data quality to ensure accuracy, completeness, and consistency
• Build data products when needed (e.g., marketing performance datasets, customer lifecycle models, cohorting, experimentation-ready tables)
• Continuously improve workflows with best practices (naming conventions, data modeling standards, data quality testing, templates, and CI/CD)
• Communicate clearly with cross-functional teams and non-technical stakeholders
• Support team members in designing, developing, and implementing data warehousing, reporting, and analytics solutions

We expect you to

• Have 3+ years of experience in analytics engineering, BI engineering, or data engineering, with a strong focus on data modeling
• Have strong SQL skills and use Python for analytics workflows and automation
• Have hands-on experience with dbt, BigQuery, Looker, and CI/CD practices
• Have experience with marketing and website tracking concepts (events, attribution, funnels) — a plus
• Have strong problem-solving and critical thinking skills: able to challenge unclear requests, design robust metrics, and communicate trade-offs
• Have experience setting up or scaling data quality practices
• Be able to work with stakeholders, write clear documentation, and align teams on definitions
• Have a curious, growth-oriented mindset, and be comfortable learning new tools and approaches
• Be fluent in English, with the ability to explain technical and business issues clearly

Salary

Gross salary range is 4200 - 6000 EUR/month.

Location

We have plenty of amazing workspaces you can choose from: our awesome headquarters in Vilnius, and super cool hubs in Klaipėda and Riga! For Vilnius: 4 days onsite, 1 flexible day remote. Meanwhile, in Kaunas: onsite, hybrid, or remote options are available depending on the role.

Speaking of perks:

Own your wellness

Stay sharp and well in your own way – health insurance (after probation), on-site physiotherapist, office gym, and fitness classes keep you moving. Plus 7 extra days off, 3 for weddings, hybrid work, and the freedom to work 2 months from anywhere in the world.

Boost your daily life

Every breakthrough needs a spark and our daily setup reflects that. Pet-friendly office, fresh breakfasts, hot lunches, drawers and fridges stocked with snacks and food – for a quick bite or even a team-cooked meal together. Rooftop and cellar events keep things lively, while 10 social clubs give space to dive into passions and try new things. Add a public transport card for Vilnius and Perks.lt perks for smoother days.

Shape your growth path

Builders never stop learning. Coaching, mentorship, training, conferences, online courses, subscriptions, books – you’ve got a €1100 yearly budget to fuel personal or team growth. You pick the path – we’ll back you all the way.

Drive global impact

This is where ambition scales. Build impact across 30+ brands worldwide. Launch bold projects. Even step in as a co-founder – we reward those who push further. And if you bring in more great people, you get €1500 for every successful referral.

• additional conditions apply based on your residence location.