Data Engineer

Lisbon
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer / Analytics Specialist

Location: Portugal (remote-first, regular Lisbon meet-ups)
Salary: €40,000–€60,000 + local benefits
Start: January preferred

We’re working with a small, well-established technology business that builds a data-driven software platform used by organisations across Europe and beyond. The company operates at the intersection of complex data, investigative analysis and real-world decision-making, and is known for taking on problems others avoid.

They are now looking to hire a Data Engineer / Analytics Specialist to replace a key team member who is relocating for personal reasons.

This is a hands-on, high-impact role in a very lean environment — there is no spare capacity and no layers of management. The right person will very quickly become central to how the business operates.

The role The team works with very large, messy, real-world datasets (often several years’ worth at a time), which are ingested into a proprietary platform and replayed as if they were live. From this, the business builds a picture of activity, patterns and anomalies that clients can act on.

This hire has two clear priorities:

  1. Data ingestion & pathways
    The biggest immediate need is improving how data is ingested, shaped, validated and moved through the system. Someone who can make this more efficient, robust and scalable will pay for themselves very quickly!

  2. Bespoke analytics & client outputs
    Alongside this, you’ll support the wider team with bespoke analysis, reporting and visualisation, helping turn complex findings into something clients can actually understand and engage with.

    You’ll work closely with investigators, software engineers and domain specialists, often juggling multiple clients and projects at once. Every dataset is a puzzle — and presentation matters as much as the analysis itself.

    What they’re looking for This is not a pure research or ML role. It’s about applied analytics, judgement and communication.
    They’re open on seniority, but this would suit someone with 2+ years’ experience who wants real ownership and responsibility.

    Key skills / experience:

    Strong Python (Pandas, NumPy)
    Solid SQL
    Experience working with large, imperfect datasets
    Comfort moving between projects and priorities
    Ability to explain findings clearly to non-technical stakeholders
    A practical, delivery-focused mindsetNice to have:

    Data engineering or BI background (consulting / analytics / BI environments fit well)
    Experience with visualisation tools (e.g. Power BI or similar)
    English & Portuguese language skills
    Spanish a strong plus (clients in Spain & Mexico)How does the team work?
    Remote-first, but in-person meet-ups in Lisbon
    Heavy use of Slack and Teams — fast-moving, collaborative, sometimes noisy
    Very flexible hours, but high ownership and accountability
    People are trusted to get on with the job
    You’re encouraged to push ideas, improve things and shape how work is doneThere’s a 6-month learning curve, and the company invests heavily in onboarding — so commitment and buy-in matter. This is a place for people who want to build something and be part of the journey, not step through for a CV line.

    Why do people stay?

    The work has a strong ethical and social impact. The team is motivated by improving standards, calling out bad practice and helping clients make better decisions. For the right person, this is work you can feel genuinely good about.

    You will need the right to work in Portugal and will be...

    Employed via a Portuguese entity
    Receive standard Portuguese benefits (including meal allowance)
    Some travel possible
    Ideally starting January to handover with the outgoing engineerIf you've got to the bottom of this advert and you are excited, tick the above boxes and want to find out more, drop me an email/application and I will reach out to discuss the application process

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.