Senior Analytics Engineer (Remote - Spain, Portugal, UK)

Jobgether; United Kingdom; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading company is seeking a Senior Analytics Engineer to shape a modern analytics infrastructure. You will develop scalable data models, maintain high quality, and collaborate across teams to drive informed decisions in a fast-evolving environment.

Benefits

Private health insurance

25 days paid vacation

Flexible working hours

LinkedIn Learning access

Qualifications

• Experience with modern data stacks, dbt, BigQuery.
• Strong grasp of data modeling best practices.
• Ability to scope and execute projects independently.

Responsibilities

• Design and implement scalable dbt models.
• Ensure high data quality through testing.
• Collaborate with teams to improve data accessibility.

Skills

Data modeling

Collaboration

Communication

Data quality

Education

4-6+ years of experience

Tools

dbt

BigQuery

Looker

Job description

This position is posted by Jobgether on behalf of Pleo. We are currently looking for a Senior Analytics Engineer in Portugal, Spain, UK.

As a Senior Analytics Engineer, you'll play a critical role in shaping a modern, trusted, and scalable analytics infrastructure. Working at the intersection of engineering and data strategy, you'll develop robust data models, contribute to semantic layers, and collaborate with stakeholders across the business to power impactful decision-making. This is a high-impact role where you'll bring clarity to complex data, champion best practices in modeling, and support a thriving data culture across the organization. If you're driven by autonomy, scalability, and collaboration-this role offers both challenge and opportunity in a fast-evolving product environment.

Accountabilities:

• Design and implement scalable dbt models that translate complex business logic into clear, documented datasets.
• Ensure high data quality by establishing robust testing, validation, and monitoring practices.
• Contribute to the semantic layer (e.g. LookML) to align and unify key business metrics.
• Collaborate with analysts, data engineers, and business teams to clarify requirements and improve access to trustworthy data.
• Identify reusable logic and promote consistent modeling across domains and teams.
• Support warehouse governance through naming conventions, clear documentation, and data accessibility.
• Drive continuous improvement in the data architecture to ensure performance, scalability, and alignment with evolving business needs.

Requirements

• 4-6+ years of experience working with modern data stacks, especially with dbt, BigQuery, and semantic modeling tools like Looker.
• Expertise in building layered, reusable data models that support self-serve analytics.
• Strong grasp of best practices in data modeling, performance optimization, and version control.
• Ability to scope and execute projects independently while collaborating cross-functionally.
• Proactive mindset-anticipating issues, advocating for improvements, and maintaining high standards in model quality and documentation.
• Clear communication skills and the ability to translate complex technical concepts into accessible insights.
• Experience supporting analysts, mentoring peers, and aligning data efforts across multiple teams.

Benefits

• Your own Pleo card - no more out-of-pocket expenses.
• Monthly lunch allowance or in-office catering (depending on location).
• Private health insurance for mental and physical well-being.
• 25 days of paid vacation, plus national public holidays.
• Flexible working hours and remote work options.
• Option to buy 5 additional vacation days via salary sacrifice.
• Access to MyndUp mental health & well-being support.
• LinkedIn Learning access to fuel continuous personal and professional development.
• Paid parental leave for all family types.
• A friendly, international, and inclusive company culture.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job's core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias - focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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