Data Engineer | Pipelines With a Mission (AI Track Inside)

We’re always looking for the ones
truly passionate
about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results.

More than 6000 colleagues are part of
eMAG Teams
. We strongly believe in people's development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you’ll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level.
Join us, grow faster
!

Machine Learning Engineer (Data & AI, Data Science Vipers Team)

The Data Science Team is responsible for the development, deployment, and monitoring of ML/AI models that impact different business areas, such as: Marketplace, Operations, and Commercial.

What you’ll have to do:

• Formulate and argument a hypothesis, to access, clean and aggregate data, train and interpret models, present the result, get feedback, deploy model in production and monitor performance on a daily and weekly basis.
• This implies collaboration with the team members involved in the process, others machine learning engineers, team lead, product owner, analysts, clients, and data teams.
• Develop and deploy solutions on-premises and on-cloud depending on the project and the status.
• Work in an environment where the adoption of GCP is mandatory for development and production.
• Use Kubernetes cluster with GPU's included, running Docker containers on each task, writing Python and PySpark with internal standards for coding.

What makes you a good fit:

• Appropriate skills for data wrangling with SQL and PySpark.
• Experience working with structured and unstructured data.
• Good understanding of ML/AI techniques, such as boosting and transformers.
• Strong mathematical and statistical background about mentioned techniques.
• Ability to efficiently write Python code for development and production.
• Experience using a versioning control system (GitLab).
• Familiarity with MLOps tools like Kubernetes, Docker, Kubeflow pipelines, will make your work and ours a lot easier.

What we’ve prepared for you:

• Medical subscription: Medicover or Regina Maria.
• A flexible budget that you can invest in yourself as you wish: meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Therme & Genius, membership to different gyms or even professional development classes.
• Different discounts from our partners: banking, mobile, dental medicine or wellness.
• Access to the Bookster library and free credits on the Hilio psycho-emotional health platform.
• An accelerated learning environment, with access to over 100.000 curated online resources and platforms, learning academies and development programs.
• New headquarters, where sleek design, natural light, and versatile spaces create an energizing and comfortable environment for hybrid work.

#midsenior

Curious to find out more about the next step in your career?
Apply now
and if your experience is relevant for the role you wish, we will give you a call for more details! Also, here you can find our confidentiality policy if you want to consult it.

Despre noi
Suntem un start-up care sprijină SOLOprenorii în drumul lor spre succes. Peste 30.000 de freelanceri, medici, IT-iști și antreprenori români au ales în ultimii 5 ani să își gestioneze PFA-ul cu SOLO — și asta ne face și mai ambițioși. Vrem să ajungem cât mai curând la 100.000 de clienți activi. Misiunea noastră este să transformăm birocrația într-un sistem simplu, digital și automatizat.

Despre ce este rolul?
SOLO este o companie de tehnologie care construiește produse folosite zilnic de zeci de mii de antreprenori din România.

Suntem într-o etapă în care AI-ul devine o componentă centrală în modul în care dezvoltăm produsul. Căutăm un inginer care vede AI-ul nu ca pe un tool auxiliar, ci ca pe o componentă de bază în construcția sistemelor.

Vei lucra la probleme reale, cu impact direct în produs, și vei contribui la modul în care integrăm AI în procesele noastre de dezvoltare în următorii ani.

Este un rol dificil, dar cu impact major asupra direcției tehnice a companiei.

Misiunea ta în acest rol

• Vei construi și livra funcționalități care ajung rapid în producție și sunt folosite de un număr mare de utilizatori.
• Vei folosi AI pentru a automatiza fluxuri existente și pentru a construi sisteme noi — de la procese interne până la funcționalități direct în produs.
• Vei contribui la decizii de arhitectură și la definirea modului în care folosim AI în dezvoltare. Nu există încă un playbook clar — o parte din rol este să îl construim.
• Vei lucra direct cu fondatorii, CTO-ul și cu o echipă care pune accent pe simplitate, viteză de execuție și calitate.

Ce ne dorim de la tine
Ai experiență solidă ca software engineer (focus pe .NET) și poți livra constant într-un mediu cu ritm rapid.

Poți transforma probleme neclare în soluții funcționale, fără să depinzi de specificații perfecte.

Ești un power user real de AI. Scrii prompturi ca pe specificații tehnice. Ai construit sau cel puțin ai încercat să construiești un agent autonom, chiar și ca proiect personal de weekend.

Ai instincte bune despre când AI-ul e soluția și când nu e. Ești genul care citește release notes-urile OpenAI și Anthropic în ziua în care apar.

Comunici bine, colaborezi ușor și îți asumi responsabilitatea pentru ceea ce construiești.

Cultura noastră este orientată către performanță, energie și disciplină. Ne dorim colegi care împărtășesc un stil de viață sănătos, iar acest lucru nu este compatibil cu fumatul.

Ce oferim

• Salariu competitiv (14.000 - 20.000 RON net, în funcție de nivel)
• Zile nelimitate de concediu (pe care le și folosim)
• Program flexibil
• Abonament premium la clinicile medicale Regina Maria;
• Abonament Bookster;
• Acces la tool-uri AI (Claude, Cursor, Copilot, etc) și buget de utilizare.
• Lucrăm de la biroul nostru din București (Aviatorilor/Ch de Gaulle), pentru viteză și colaborare

Despre cum lucrăm în general
Modul În Care Lucrăm Este Influențat De Valorile În Care Credem Și Pe Care Ne Propunem Să Le Aplicăm În Tot Ce Facem

Creșterea continuă și accelerată e ceva fundamental - ne așteptăm de la fiecare coleg să își dorească să se dezvolte și să profite pe deplin de toate resursele pe care le punem la dispoziție pentru învățare. Apoi, ne așteptăm ca fiecare coleg să fie interesat mai ales de rezultat, nu doar de efort în sine.

Clientul este în centrul activității noastre: îi înțelegem nevoia reală, îl tratăm cu empatie și alegem soluții simple și clare pentru el. Facem toate acestea în timp ce ne comportăm cu bunăvoință unii față de alții, oferim și acceptăm feedback și menținem și consolidăm un spirit de echipă în care să ne regăsim cu toții.

Fiind un start-up, ne dorim alături oameni energici, curajosi, autonomi, cu o gândire dincolo de tipare, cu simțul umorului și cu o mare flexibilitate mentală, pentru că adesea realitatea din jur și activitățile noastre de zi cu zi se schimbă din mers în timp ce direcția rămâne clară: suntem aici pentru a sprijini SOLOprenorii.

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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 Engineer
to 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!

Job Description
We are looking for a dedicated Data Engineer who is passionate about building robust data architectures and transforming raw data into valuable insights. This role is ideal for someone who can design, develop, and maintain scalable data solutions, working closely with cross-functional teams to ensure efficient and secure access to critical data. If you’re driven by data optimization, ETL processes, and the latest in data technology, join us to empower our organization with the insights it needs.

Core Responsibilities

• Architect and Develop Scalable Data Solutions: Design and implement advanced data pipelines and processing solutions to support high-performance, scalable data architectures, ensuring the infrastructure can handle growing data demands.
• Collaborate with Development Teams: Partner with software and product development teams to gather requirements and translate them into efficient, data-driven solutions, fostering collaboration and understanding across departments.
• Implement and Manage ETL Processes: Design, build, and monitor ETL processes that ensure smooth data integration from various sources. Leverage company-specific technologies to create seamless data flows while adhering to best practices for consistency and reliability.
• Database Performance Optimization and Maintenance: Monitor and fine-tune database performance, balancing factors like cost and performance. Implement indexing, caching, and query optimization strategies to improve data retrieval times.
• Data Security and Privacy Compliance: Develop and enforce security protocols to protect sensitive data, ensuring compliance with industry standards and data privacy regulations.
• Collaborate with Data Analysts and Scientists: Work closely with data professionals to ensure data accessibility, quality, and availability, supporting the organization’s needs for insights and decision-making.

Qualifications And Experience

• Proven experience in building and managing large-scale data solutions, preferably within a cloud environment like AWS.
• Strong skills in database technologies, with hands-on experience in query optimization, data modeling, and storage solutions.
• Proficiency in ETL tools and data transformation techniques, ensuring data accuracy and integrity throughout the pipeline.
• In-depth knowledge of data security and regulatory requirements to protect and secure sensitive information.
• Effective collaboration skills with a history of working cross-functionally with developers, analysts, and data scientists.

Tech Stack

This role requires familiarity with the following tools and technologies:

• Airflow: For scheduling, managing, and monitoring complex data workflows and ETL processes.
• AWS (S3, Redshift, EMR): For scalable data storage, processing, and warehousing.
• Kafka: To enable real-time data streaming and support event-driven architectures.
• Qlik and Spark: Used for data visualization and distributed data processing, essential for handling big data.
• Python and SQL: For data transformation, querying, and pipeline development.