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Full Stack Data Engineer Job Opening In Lisbon – Now Hiring Orbital


Job description

Combining equal expertise in traditional finance and digital asset treasury solutions, Orbital is a trusted and regulated partner for global financial management.

Until now, multinationals have been forced to choose their finance tools piecemeal.

We provide our clients with all they need to run their financial operations from a single interface; multi-currency accounts, custody vaults, international payments and FX supporting 30+ fiat and exotic currencies, and crypto-commerce C2B payments.



What is our mission?:

Orbital is on an exciting mission to revolutionise global cross-border payments by innovatively combining traditional fiat banking rails with stablecoins over blockchain rails for a variety of use cases.

Our class leading B2B payments platform offers multi-currency e-money accounts (corporate IBANs) combined with a suite of digital assets services.

Our company sits at the frontier of payments & fintech, by intersecting blockchain and traditional (fiat) financial services, and is leading the way to bridging those two worlds for corporate enterprises globally.

We believe blockchain technology is firmly here to stay, and we want to be the first to bring a combined offering of fiat & crypto payment services under one exciting platform.

Learn more about our team and company story .

What is the purpose of this role in the delivery of our mission?

We’re looking for a Full-Stack Data Engineer who can design, build, and optimize modern data systems from the ground up.

You’ll own the full data lifecycle—from architecting databases to building ETL pipelines, writing advanced queries, and enabling data-driven decision-making through powerful insights.

This role blends traditional data engineering with a strong analytics mindset.

You’ll collaborate closely with engineering, product, and compliance teams to ensure clean, accessible, and scalable data flows across our platform.

What are the key responsibilities of the role?



  • Design and develop scalable, reliable data architectures and storage solutions (SQL, NoSQL, etc.)


  • Build and maintain robust ETL/ELT pipelines to ingest, transform, and enrich data from multiple sources


  • Write performant SQL queries for reporting, dashboards, and ad-hoc analysis


  • Develop and optimize data models for both operational and analytical use


  • Collaborate with analysts and stakeholders to define metrics, KPIs, and data definitions


  • Implement data validation, monitoring, and observability across pipelines


  • Support data visualization efforts via BI tools (Metabase, Power BI or custom dashboards)


  • Ensure data security, governance, and compliance across all systems



What is the scope of accountability for the role?



  • Design, develop, deploy and maintain mission critical data applications


  • Delivery of various data driven applications


  • Develop and owning data models, dashboard and reporting


  • Business analysis and the query of databases



What are the essential skills, qualifications and experience required for the role?



  • 3+ years of experience in data engineering or similar roles


  • Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)


  • Experience with cloud data platforms (AWS Redshift, Stich, Airbyte, Athena, Glue, S3)


  • Proficient in Python or another data scripting language


  • Experience with orchestration tools (e.g., Airflow, Prefect, Dagster)


  • Familiarity with data warehousing, data lakes, and stream processing (Kafka, Spark, etc.)


  • Understanding of data modelling techniques (e.g., star/snowflake schema, normalization)


  • Ability to communicate complex data concepts to non-technical stakeholders


  • You have strong analytical, organisational, and prioritisation skills, and a belief in writing documentation as part of writing code



What are the desirable skills, qualifications and experience that would be beneficial for the role?


  • Data Ingestion: AWS Kinesis/Firehose


  • Data Transformation: DBT (Data Build Tool)


  • Familiarity with DevOps/data infrastructure tools (Git/Bitbucket, AWS CloudFormation, AWS ECS)


  • Exposure to analytics or dashboard tools (Metabase and/or PowerBI)


  • Prior work in a startup, SaaS, or data-intensive environment


Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Full Stack Potential: Insight & Career Growth Guide


Real-time Full Stack 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 Full Stack in Lisbon, Portugal, highlighting market share and opportunities for professionals in Full Stack roles.

473 Jobs in Portugal
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134 Jobs in Lisbon
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Are You Looking for Full Stack Data Engineer Job?

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

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Orbital 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 Full Stack 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 Full Stack Data Engineer?

Key qualifications for Full Stack 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.

How Can I Improve My Chances of Getting Hired for Full Stack Data Engineer?

To improve your chances of getting hired for Full Stack 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 Full Stack Data Engineer Job Success

Orbital interview tips for Full Stack Data Engineer

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

Before the Interview:

Research: Learn about the Orbital'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.

Be Honest: Don't exaggerate your skills or experience.

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 Full Stack Data Engineer interview at Orbital, 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 Orbital'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!

How to Set Up Job Alerts for Full Stack Data Engineer Positions

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