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Data Engineer, Fraud Job Opening In Lisbon – Now Hiring Xcelirate


Job description

Who Are We?

Xcelirate develops technologically-advanced platforms which are accessed by thousands of users every minute! We are proud to offer a workplace where the sharpest developers come together to strategically plan and swiftly execute practices which see us maintain our existing market dominance and attain global expansion.

We owe our success to our customers who have seen us grow across a decade, and our talented team who have made that growth possible.

What are we looking for?

A Data Engineer, experienced in Fraud data:

  • Design, develop, and maintain robust data infrastructure to support use cases such as fraud detection but also general data engineering.

  • Build scalable, high-performing data pipelines and storage systems for fraud use cases.
  • Create the technical foundation that powers such use cases of fraud detection, analytics and reporting.

What will you be doing?

  • Develop and Maintain Pipelines: build and maintain efficient, scalable data pipelines for use cases such as fraud detection
  • Support Fraud Analytics: enable analysts and product teams to identify and address emerging fraud patterns through engineered datasets
  • Integrate Detection Models: collaborate with teams to operationalise external fraud detection models and integrate them into the data infrastructure
  • Data Storage Optimisation: design and optimise data storage solutions for analysing fraud signals and managing historical data
  • Feature Engineering: create fraud-specific datasets and features to enhance detection accuracy while supporting business and analytics teams
  • Pipeline Monitoring and Optimisation: monitor fraud data pipelines to ensure system reliability and troubleshoot performance issues
  • Best Practices Documentation: establish and document best practices for fraud-related data engineering
  • Cross-Team Collaboration: partner with data, product, and engineering teams to proactively address fraud trends

Requirements

What will you bring along?

  • 5+ years of experience as a data engineer with some expertise in fraud detection systems or similar
  • Proficiency in Python and SQL, with knowledge of orchestration tools (e.g., Apache Airflow, DBT)
  • Strong knowledge of database design, query optimisation, and ETL/ELT workflows
  • Familiarity with leveraging machine learning models, primarily as a component of the broader data pipeline
  • Understanding of CI/CD processes for data pipelines
  • Hands-on experience with data visualization platforms for trend reporting (e.g., Tableau, Superset, Metabase)
  • Familiarity with statistical techniques for fraud trend analysis and reporting
  • Experience with Git and version control in collaborative workflows

We are always looking for the best candidates, so if you think you would be a good fit even if you don't meet 100% of the requirements, we would love to hear from you!

Benefits

How We Support Our Contractors:

  • Top-Notch Workstation: We provide the latest MacBook, branded merchandise, and everything you need for an optimal work environment.

  • Global Co-Working Access: Work from a global network of co-working spaces to keep your work-life dynamic and flexible.

  • Flexibility: Enjoy full flexibility in work location and hours, supporting a work-life balance tailored to your needs.

  • Events and Gatherings: Participate in exciting events throughout the year, including team gatherings, cultural events, and other fun activities.

At Xcelirate, we’re committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.

We pride ourselves in being an equal opportunity workplace.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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

3354 Jobs in Portugal
3354
1315 Jobs in Lisbon
1315
Download Data Engineer Jobs Trends in Lisbon and Portugal

Are You Looking for Data Engineer, Fraud Job?

Great news! is currently hiring and seeking a Data Engineer, Fraud 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 Xcelirate 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 Data Engineer, Fraud 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 Data Engineer, Fraud?

Key qualifications for Data Engineer, Fraud 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 Data Engineer, Fraud?

To improve your chances of getting hired for Data Engineer, Fraud, 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 Data Engineer, Fraud Job Success

Xcelirate interview tips for Data Engineer, Fraud

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

Before the Interview:

Research: Learn about the Xcelirate'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 Data Engineer, Fraud interview at Xcelirate, 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 Xcelirate'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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