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Senior Data Engineer Job Opening In Lisbon – Now Hiring Sweatcoin


Job description




At Sweatcoin, we're driven by a shared mission to make the world more active, and we value creativity, collaboration, and a passion for solving complex problems.

Our iOS and Android apps have more than 200M installs, 15M+ active users, more than 500 commercial partners and confirmed by the independent academic research ability to make our users up to 20% more active.

The most downloaded Health app of the year (2022), having been No.1 Overall App in 56 countries and counting!

This is an exciting opportunity to make a huge impact on our data platform as we transition to a more scalable and efficient architecture.

If you thrive on solving complex data challenges and want to be part of a high-performing team, we’d love to hear from you!

What we offer:


  • A team of exceptional people who celebrate our community by being supportive and creative all the way.

    The head of data once was developing mind-reading helmet; a software developer has his certified psychological practice; QA-vet; QA-skipper; and a number of musicians that might allow us to start our own band.

    All together we’re multiplying each other’s talents which inspire us to develop a product we’re all proud of.

  • A product that promotes health and fitness in 100 countries.

    Sweatcoin has proven to help people and create multiple inspiring stories like this one: .

  • A startup that actually works.

    We are completely self-sufficient yet our investors are excited to provide us with even more resources to keep growing.

    We recently broke our record of 10M new users each week.

  • Models that help us to verify steps so there is no cheat way a dog can earn coins for an owner.

  • Automatised A/B tests, analytics that are deeply integrated into the product, a modern data stack (jupiter, bigquery, airflow, looker).

What you will do:

We are looking for a Senior Data Engineer to join our team and play a key role in migrating our data infrastructure to a new architecture.

You will work alongside two other engineers on this large-scale migration and help shape the future of our data platform.

Over time, our team will evolve into a platform-focused group, building automation tools, improving performance, ensuring data pipeline resilience, and strengthening data governance.

What you will do:


  • Lead and execute the migration from Firebase-BigQuery-Looker to a self-hosted stack including Snowplow, Kafka, ClickHouse, Trino, Spark, S3, and Redash.

  • Design, develop, and optimise scalable, high-performance data pipelines.

  • Automate data processing and workflow orchestration.

  • Enhance data infrastructure reliability, scalability, and cost-efficiency.

  • Collaborate with engineers and analysts to define best practices for data processing, storage, and governance.

  • Develop internal tools for data quality monitoring, lineage tracking, and debugging.

  • Optimize query performance and ensure efficient data modeling.


What we expect from you:


  • Expertise in Data Engineering: Strong experience building, maintaining, and optimizing ETL/ELT pipelines.

  • Strong Coding Skills: Proficiency in Python and SQL for data processing and analytics.

  • Distributed Systems Experience: Hands-on experience with Kafka, Trino, ClickHouse, Spark, or similar.

  • Cloud & Storage: Experience with S3 or equivalent object storage solutions.

  • Infrastructure & Tooling: Proficiency with Docker, Kubernetes, Git, and CI/CD pipelines.

  • Orchestration & Automation: Familiarity with workflow orchestration tools like Airflow or dbt.

  • Analytical Thinking: Ability to optimize system performance and troubleshoot complex data issues.

  • Self-Starter Mentality: Comfortable working in a fast-paced, evolving environment with minimal supervision.

  • Strong Communication Skills: Fluent English to ensure smooth collaboration within the team.


Nice to have:


  • Experience with Snowplow for event tracking and data collection.

  • Knowledge of data governance and security best practices.

  • Familiarity with machine learning pipelines and real-time analytics.

What you get in return:


  • Remote-friendly & Flexible working hours.

    The flexibility is incredible, performance is based on output, rather than hours spent working, you can be wherever you want!

  • Apple devices for work

  • Team buildings abroad in exciting locations!

  • Health insurance coverage

  • WellBeing program, which supports up to 2 counselling sessions per month

  • Unlimited time-off policy

If you feel that that’s a match we would be excited to have you on our team!

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in Lisbon, Portugal, highlighting market share and opportunities for professionals in Senior Data roles.

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Are You Looking for Senior Data Engineer Job?

Great news! is currently hiring and seeking a Senior Data Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Sweatcoin adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Portugal laws and regulations

What Is the Average Salary Range for Senior Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Lisbon. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Data Engineer?

Key qualifications for Senior Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Senior Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Senior Data Engineer Job Success

Sweatcoin interview tips for Senior Data Engineer

Here are some tips to help you prepare for and ace your Senior Data Engineer job interview:

Before the Interview:

Research: Learn about the Sweatcoin's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Engineer interview at Sweatcoin, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Sweatcoin's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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