myPOS

Data Engineer (Contractor)

Romania full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business.
As we are expanding our team, we’re looking for Data Engineerto help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen!
About the role:
As a Data Engineer, you’ll design, build, and operate scalable, reliable data pipelines and data infrastructure. Your work will ensure high-quality data is accessible, trusted, and ready for analytics and data science - powering business insights and decision-making across the company.
What you’ll do:

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations

Develop and evolve scalable data architecture to meet business and performance requirements

Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics

Implement best practices for data quality, testing, monitoring, lineage, and reliability

Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)

Ensure secure data handling and compliance with relevant data protection standards and internal policies

Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes

Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices

Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

This role is perfect for you if you have:

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)

3+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets

Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies for ETL/ELT processes

Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment

Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud

Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments

Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Nice to have:

Strong GCP experience and ecosystem knowledge: BigQuery, Composer, Dataproc, Cloud Run, Dataplex, Cloud Storage

Experience building reliable incremental data ingestion pipelines from DBs and APIs.

Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts

Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices

Experience with data governance concepts: access control, retention, data classification, auditability, and compliance standards

Experience building observability for data systems (metrics, alerting, data quality checks, incident response)

Knowledge of model monitoring concepts: drift, data quality issues, performance degradation, bias checks, and alerting strategies

Why you should join myPOS:

Vibrant international team operating in hi-tech environment

Excellent compensation package

myPOS Academy for upskilling and training

Unlimited access to courses on LinkedIn Learning

Refer a friend bonus as we know that working with friends is fun

Teambuilding, social activities and networks on a multi-national level

Who we are:
Since 2014 we’ve been all about making payments easier and more accessible for businesses of all shapes and sizes. Whether you’re at the counter, selling online, or on the move, we’ve got businesses covered with smart, accessible and affordable solutions that keep things easy.
Our mission? It’s simple. Help businesses get paid by taking advantage of modern tech and innovative ideas, so payment challenges are a thing of the past.
Pro tip:
Take it easy about meeting every requirement - this job description is just that, a job description! Even if you don’t tick every box, we want you to apply anyway! This is your chance to grow, learn, and build your career with us. We value potential over perfection, and we are all about mutual growth!
Apply by filling in the form below and send your CV in English!
myPOS is committed to providing equal employment opportunities. All qualified candidates will be considered for employment without discrimination based on age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, veteran status, race, religion, sex, sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations, and ordinances.
Your application will be confidentially reviewed in line with the General Data Protection Regulation (GDPR). Personal information will be used solely for the job application and will be stored for a period needed by the application process. Only short-listed candidates will be contacted. Good luck!
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis MySQL Python SQL Writing Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data Engineer (Contractor) role.
  2. How would you approach your first 30 days at myPOS?
  3. Which of Data Analysis, MySQL and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Engineer (Contractor) role because I can bring practical experience in Data Analysis, MySQL and Python, learn the team quickly, and contribute to the outcomes myPOS needs from this hire.

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