Principal Data Engineer - Remote - Latin America

We are reviewing applications from candidates based in Croatia, Serbia, Romania, and Bulgaria. Candidates must have residency and work authorization in one of these countries. We do not offer visa sponsorship or B2B engagement at the moment.

About us

Microblink is the Identity Intelligence OS that establishes Know Your Actor: control over people and agents, how risk is assessed, and how decisions are made across digital journeys. Built for an adversarial AI era, Microblink replaces static verification with continuous identity control. As the only solution spanning IDs, biometrics, and payment cards, Microblink delivers a real-time command center where signals, policies, and decisioning can be calibrated with granular precision. Companies use Microblink to adapt faster than fraud, optimize outcomes over time, and enforce trust at scale across onboarding, authentication, and every moment in between. In 2025, Microblink processed 2.9 billion identities across 195+ countries/territories. Its proprietary Fraud Lab generates 100,000+ images monthly for training and testing models, achieving 100% deepfake detection in DHS-powered testing.

Interested in learning more?

Explore our tech in action

.

Here’s what you’ll do:

• Architect and Scale Data Pipelines:
  Design, build, and maintain robust
  ETL/ELT
  pipelines (both batch and real-time streaming) using modern data orchestration tools (e.g., Airflow, Dagster, Prefect).
• Empower ML and Analytics:
  Partner closely with Data Science and ML teams to streamline data synchronization, feature engineering, and operationalize ML models.
• Drive Automation and Tooling:
  Optimize our data infrastructure by automating data flows and enhancing internal analytics pipelines, leveraging modern transformation tools (like dbt) to improve overall analytics efficiency.
• Innovate with Synthetic Data:
  Develop and implement synthetic data generation pipelines to support robust model training and privacy-safe testing environments.
• Act as a Strategic Partner:
  Gain deep domain expertise to help shape our data architecture and collaborate with Data/ML teams to define high-impact projects.
• Champion Engineering Excellence:
  Actively participate in Agile ceremonies (sprint planning, retrospectives) and drive best practices in code reviews, CI/CD, and data quality testing.
• Ensure Data Governance:
  Design systems that strictly adhere to company security, privacy, and compliance policies (e.g., role-based access control, data retention etc. ).

You'll be successful in this role if you:

• Advanced Python Skills:
  Expert-level proficiency in Python for data manipulation, scripting, and backend development.
• Modern Data Stack Expertise:
  Deep understanding of cloud data warehousing solutions (e.g.,
  Google BigQuery
  , Snowflake, or AWS Redshift) and experience designing scalable data models.
• Database Mastery:
  Advanced SQL querying skills and a strong architectural understanding of both relational (e.g., PostgreSQL) and non-relational databases.
• Software Engineering Foundations:
  A strong background in essential software development practices, including Object-Oriented Programming (OOP), Git version control, and building scalable code.

A big plus if you have experience with:

• Machine learning development lifecycle:
  Familiarity with standard machine learning processes and practices
• Containerization & Orchestration:
  Familiarity with Docker and Kubernetes for deploying data applications.
• Specific NoSQL Stores:
  Hands-on experience with MongoDB.
• Infrastructure as Code (IaC):
  Experience provisioning cloud resources using Terraform or similar tools.
• Cloud Ecosystems:
  Hands-on experience navigating and utilizing the broader GCP (Google Cloud Platform) or AWS ecosystems.

Here’s what you’ll gain if you join us:

• Microblink owes its success to its people. That is why we offer equity participation to all of our full-time employees so that we can grow together
• Unlimited PTO, giving you the flexibility to take time off as needed to maintain a healthy work-life balance
• Location-specific benefits tailored to meet diverse personal preferences and country standards
• Flexible work arrangements, allowing you to adjust your schedule—whether working remotely or at our Zagreb or New York office
• Opportunities to learn and develop your skills through internal L&D programs and a supportive working environment

At Microblink, we nurture a culture that recognizes and rewards success and is not afraid to try, fail, and learn from mistakes.

Find out what it feels like to work at Microblink

How can you join us?

If this role intrigues you, do not hesitate to hit the apply button and send us your resume. We are excited to meet talented people, even if you don’t feel that you match 100% of the requirements.

So don’t let that discourage you - get in touch with us and we promise to get back to you.

Microblink LLC is an equal opportunity employer committed to diversity and inclusion in the workplace. This policy applies to all employment practices within our organization, from hiring to the end of your business relationship with us. Accordingly, this job advertisement is equally applicable to all people and Microblink will make a hiring decision based solely on qualifications, merit, and business needs. We prohibit discrimination of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws, as well as our internal policies and culture.

*For detailed information on how we process personal data, please read our Privacy Policy

https://microblink.com/privacy\-policy/

or reach out to our Data Protection Officer at

privacy@microblink.com

.*

We are looking for a skilled
Data QA Engineer
to join our
BI & Data Technologies
group. In this role, you will be responsible for testing and validating all ETL processes and database scripts, ensuring the quality and reliability of our data solutions. You will develop testing scripts, simulations, and automation based on design specifications, while also troubleshooting issues and identifying root causes in development workflows.

**What You’ll Be Doing**

• Test and approve ETL processes and database scripts.
• Develop testing scripts, simulations, and automated test workflows according to design documents.
• Perform root-cause analysis and provide clear insights into development issues.
• Review and analyze product and development documentation to ensure accurate test coverage.

Job Requirements

What We’re Looking For

• Proven experience writing SQL queries and scripts.
• Experience working with large-scale data warehouse (DWH) environments.
• Hands-on experience with ETL pipeline testing methodologies.
• Background in data quality testing, test scripts, and STD documentation.
• Ability to read, understand, and analyze product and technical design documents.

Nice to Have

• Experience working with Snowflake.
• Experience with SSIS.
• Familiarity with Python.
• Understanding of CI/CD concepts and workflows.
• Experience working in an Agile environment.
• High motivation, independence, and strong problem-solving skills.
• Good English communication skills.

What We Offer
Our roles offer more than just a job, you’ll become part of the evoke family! We have created an environment where our people can thrive. Check out some of the fantastic benefits on offer:

• Financial: Competitive salary
• Hybrid working: Our employees can work from home up to 80% of the time with 20% of office time built in to ensure we get some face-to-face collaborative team time - and the chance for a coffee and a catch-up!
• Holiday entitlement: You’ll be entitled to 22 annual leave days, plus bank holidays and an extra day for your birthday.
• eLearning
• Family Support: Industry-leading maternity and paternity leave and paid time off if you have caring responsibilities.
• Health & wellbeing: Tools and services to help support your well-being, including support with mental health and financial education. You will also have access to gym discounts.
• Healthcare: We prioritize your health and well-being, offering comprehensive healthcare benefits.
• ...and more

More About Evoke
We’re a business that embraces change and progress. The power behind big name brands William Hill, 888 and Mr Green,
evoke
is the new name for 888 Holdings. Marking a new sense of purpose, direction and ambition for the business, there couldn’t be a more exciting time to join us as we accelerate our journey to bring even greater delight to our customers with world-class betting and gaming experiences. That’s the future. That’s
evoke
.

At evoke, you’ll benefit from flexibility and a culture built on trust. We’ll give you the space to be yourself and the tools you need to protect our customers while they play. We’ll invest in your future to help you develop your unique strengths and build a career that’s right for you.

Apply
At evoke, we prioritize diversity, equity, and inclusion for the benefit of our company, employees, and communities. We foster a welcoming and safe workplace that values all forms of diversity and provides opportunities for growth.

Sound good? Then you belong at our place! The first step in the recruitment process is kickstarting your application, followed by an initial screening call and an interview stage.

Apply today to kickstart your application with the evoke Family!
Application

Just fill in a few details below and we’ll be in touch if you’re a match for the position

POSITION | QA & Data Quality Engineer | Position ID: C1.B68

Privacy Policy
The candidate consent that the information in this Candidate Application and any personal information concerning him/her which is obtained by the Company or from other sources, will be held and managed by the Company or on its behalf, and that the Company shall be entitled to use and transfer such information to third parties, including Company’s affiliates, business partners or contractors/service providers, in Romania or abroad, to the extent required while maintaining your right to privacy. The Company undertakes that the information will be used, and transferred for the purposes related to the recruitment process, including assessment of your qualifications against our work opportunities, verification and reference/background checks, communications with you about the recruitment process and/or your application and/or compliance with applicable laws, regulations, legal processes or enforceable governmental requests.

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Related Positions

At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds.
We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list.

We are now looking for an
Engineering Manager (Data)
to help us further expand our world-class data engineering team.

What will you do?
In the following 12-18 months, we will grow our data engineering and AI team from ~40 to ~65. Hence, we're looking for an Engineering Manager to lead one of our data engineering teams comprising 5-6 consultants. In this role, you will oversee project delivery, manage and mentor the team, and ensure the successful execution - often by staying hands-on yourself - of data engineering, ML/MLOps, and cloud migration projects for our EMEA customers. In our current operating model, you will be expected to split your time between team management and being hands-on in project delivery.

Your Team: Core Data Engineering
This team is responsible for building and optimizing scalable, high-performance data pipelines that enable seamless data movement, transformation, and storage across enterprise customer environments. This includes designing, implementing, and maintaining ETL/ELT workflows, ingesting structured, semi-structured, and unstructured data from systems like Oracle, Snowflake, and Redshift. The team is experienced in big data processing for both batch and streaming workloads and using modern data storage formats such as Delta Lake, Iceberg, and Hudi. The team collaborates closely with the cloud, infrastructure, and data governance teams to ensure data reliability, observability, and monitoring through modern tooling. Key focus areas include building enterprise data platforms, enabling real-time and batch analytics workloads, and migrating legacy systems to modern cloud environments. Depending on your seniority and our current business needs, you will either take over an existing team or build up a new team from scratch.

What does it take to fit the bill?
Consulting and Technical Skills

• Consultant mindset & passion for customer experience - you prioritize your work with the customer in mind, and you seek to advise (rather than purely execute) your customers on the best-in-class technical solutions;
• Solid software engineering foundations - you are a stack-agnostic software engineer with a strong understanding of how distributed systems work. Additionally, you are familiar with (and keen to follow) best-in-class software engineering principles;
• Data & Cloud are part of your engineering journey - you have played a role in teams that designed and implemented data-intensive applications and have strong SQL and NoSQL hands-on experience. Exposure to real-time data processing systems, Apache Spark, and/or the big data ecosystem is an advantage;
• You thrive when having to solve problems and take ownership - you solve problems on your own and advise others on how to do the same. Moreover, you have a natural predisposition to identify and fill organizational gaps, be it processes or documentation gaps, customer communication mismatches, or resource allocation deficiencies.

Leadership skills

• Motivated to lead and grow people - whether you're already experienced in managing teams, or you've grown into leadership through informal experience such as leading a project team or owning delivery for a group of people, you're ready to take on the responsibility of leading and supporting a team;
• Mentoring people excites you - this could mean you've already co-created goals and development plans with a team, or you've supported and mentored colleagues informally and are excited to grow this into a more structured leadership role;
• Keen to build strong teams and culture - you may have already helped hire and grow high-performing teams, or contributed to team culture and collaboration in less formal ways, such as onboarding new colleagues or driving process improvements - either way, you're ready to help raise the bar across your team and the wider organization;
• Excellent communication skills - you can adjust your communication style, articulate technical concepts to all types of audiences, and ensure transparent communication across all levels.

What will the selection process look like?

• Screening Interview (~60 minutes) - our Technical Recruiter will run it. The purpose is to get to know you better and assess how you match the role's core requirements. This is also your chance to learn more about DATAPAO and our business model;
• Technical Interview (~90 minutes) - this round will be run by two senior data engineers. Depending on your background, we will run the session in one of the following setups:

If you have Data Engineering experience,
this session covers cloud fundamentals, core data engineering concepts, hands-on coding, and a problem-solving exercise or,

If you come from a Software Engineering background,
this session covers cloud fundamentals, software engineering principles, hands-on programming, and a problem-solving exercise.

• Cultural & Leadership Block (~120 minutes) - our Head of People and Head of Consulting will run this stage. The scope is to assess your leadership philosophy & skills and the likelihood of settling well into our community. It might consist of two back-to-back 60-minute blocks, or we might as well run it in a single ~120-minute block.

What do we offer?
At DATAPAO, we're on a mission to build one of the world's best consulting companies in its field: data engineering and AI. As an engineering manager, you'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Here is a list of some other extras we offer:

• World-class educational benefits - there’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications. You'll also get dedicated time for learning during work hours and access to our internal library;
• Flexible working hours and PTO days - we’re flexible with how many days you take off if that does not conflict with customer success and the work getting done. Additionally, how many days you spend in the office is up to you. However, as a manager, we'd expect you to spend face-to-face time with your team and mentor others regularly. We believe this can be achieved only through a balanced in-person-remote ratio;
• 4 weeks of paternity leave - because we think it’s important for both parents to be there when it matters most;
• Private Medical Insurance - we provide a private medical package via Generali;
• Employee Assistance Program (EAP) - through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person;
• Top-notch working equipment - working comfortably means working well. Therefore, you will get a MacBook Pro, a Herman Miller office chair, standing desks in the office, and whatever else is needed to give your best;
• The chance to shape our culture - overseeing people gives you a privileged position to influence how our organizational culture evolves over time;
• The opportunity to make an impact in a high-transparency culture - open feedback and a no-politics environment are things we value a lot at DATAPAO. Additionally, you'll get the chance to shape the future of a rapidly growing tech company and join the field of data and AI. We trust there is no better time than today to do so;
• A cozy office in the heart of Budapest (close to Opera), well-stocked with snacks, drinks, coffee, and beverages. An annual team building, movie and wine-tasting nights with the team, and various community events are also on us.

The gross salary for this position ranges from
2.000.000 - 2.700.000 HUF/month,
depending on your assessed seniority level during the selection process.

Want to know more about us?

DATAPAO is a Data Engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement.

We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few.

As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.

For Even More Insights, Check The Links Below

• Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
• Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
• "Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő” (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast)

You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at
jobs@datapao.com
We’re firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we'd love to hear back from you.

When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy.

Your Impact

We are looking for a
Staff DataOps Engineer
to join the
Data and ML Platform
team.

Your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will work in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business stakeholders across the organization.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

What you'll build

Your responsibilities include but are not limited to:

• Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
• Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
• Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
• Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
• Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What you'll bring

Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You'll be a great fit if you:

• You have 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
• You have extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments, and you are an authority on implementing network and IAM security best practices
• You have deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
• You are highly skilled in programming with Python, and have a solid understanding of software development principles
• You are an excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

It would be fantastic if you:

• Have hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, and are skilled at designing APIs that provide reliable and efficient access to data
• Have actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information
• Are experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment
• Have practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost-reduction strategies, and are comfortable analyzing infrastructure spending and optimizing resource allocation

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

Want to learn more about our tech culture and environment? Visit the

Doctolib Tech site
.

What we offer

• Free comprehensive health insurance for you and your children
• 25 days of paid vacation per year, plus up to 14 days of RTT
• Free mental health and coaching services through our partner Moka.care
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• 50% reimbursement of your public transport subscription
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

Our interview process

• Recruiter Interview
• Case Study
• System Design Interview
• Behavioral interview with Hiring Manager
• At least one reference check

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.

Job details

• Permanent position
• Tech stack: Google Cloud Platform, Kubernetes, Terraform, Dagster, BigQuery, dbt
• Full-time
• Paris
• Start date: as soon as possible

We welcome everyone

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, click here:

France
. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.