MLOps / Data Engineer – Full remote

ASTEK Polska Sp. z o.o.; Warszawa; Remote; PLN 120,000 - 180,000; Full time

Job summary

A global engineering consultancy is looking for a Data Scientist to apply statistical modeling and machine learning in the pharma industry. The role includes developing ML models, conducting data analyses, and working in cloud environments. Candidates should have advanced Python skills and experience with Kedro. The position offers a competitive salary and flexible work models in a collaborative environment.

Benefits

Long-term collaboration

Technical training and certifications

Employee benefits package (Multisport, healthcare, life insurance)

Qualifications

• Strong practical experience in statistical modeling and machine learning.
• Proficiency in Exploratory and Confirmatory Data Analysis.
• Advanced skills in Python and experience with Kedro.

Responsibilities

• Applying statistical modeling and machine learning techniques.
• Conducting exploratory analyses to derive insights.
• Developing and maintaining ML models in the cloud.

Skills

Statistical modeling

Machine learning

Data analysis

Python

Cloud environments (AWS)

MLOps/DevOps

SQL

Agile methodologies (SCRUM, Kanban)

Tools

Kedro

Docker

Terraform

Visualisation tools (Streamlit, Tableau)

Job description

Astek Group

Founded in France in 1988, Astek is a global player in engineering and technology consulting, present on five continents. With its expertise in many industrial and tertiary sectors, it supports its international clients in the intelligent deployment of their products and services, and in the implementation of their digital transformation.

Since its creation, the Group has based its development on a strong culture of entrepreneurship and innovation, and on the support and skills development of its 10 000 employees who are committed every day to promoting combination of digital technologies and complex systems engineering.

Position

We’re currently looking for a candidate for our client in the pharma industry.

Work Model: 100% remote from POLAND

Salary offered

• up to 21 000 PLN gross/month on contract of employment (depending on your professional experience)
• up to 1300 PLN/ MDon B2B contract (depending on your professional experience)

You will be successful in this role if:

• You have strong practical experience in applying statistical modeling and machine learning to real business problems.
• You are proficient in Exploratory and Confirmatory Data Analysis, Statistics, Probability, and Optimization.
• You are skilled in data analysis, preprocessing, and preparation.
• You bring experience in Time Series Forecasting, Anomaly Detection, NLP, GenAI, and Deep Learning.
• You have advanced Python skills and experience working with Kedro.
• You have hands‑on experience with cloud environments (AWS) and a solid understanding of MLOps/DevOps principles.
• You are familiar with containerization (Docker) and cloud‑native Kubernetes services (EKS, GKE, AKS).
• You are comfortable working with CI/CD tools (GitHub, GitLab) and automation practices.
• You have experience with Infrastructure as Code (Terraform, CloudFormation, AWS CDK).
• You have strong SQL skills and practical exposure to Data Warehousing (e.g., Snowflake).
• You can design and implement end‑to‑end data pipelines and architect robust solutions.
• You have experience with visualization tools such as Streamlit, Posit, or Tableau.
• You work effectively in Agile environments (SCRUM, Kanban).
• You communicate clearly, solve problems proactively, and operate comfortably in English at a business level.
• Understanding finance processes is a plus.

Tasks waiting for you:

• Applying statistical modeling and machine learning techniques to address complex business challenges.
• Conducting exploratory and confirmatory analyses to derive insights and validate hypotheses.
• Preparing, preprocessing, and transforming data for modeling and analytics.
• Developing and maintaining ML models across Time Series, Anomaly Detection, NLP, GenAI, and Deep Learning domains.
• Building reproducible pipelines and modular codebases using Python and Kedro.
• Designing, deploying, and monitoring ML solutions in the cloud (AWS).
• Implementing MLOps/DevOps practices, including CI/CD automation and workflow orchestration.
• Creating containerized applications and managing Kubernetes‑based deployments.
• Developing IaC templates with Terraform or other AWS‑native tools.
• Designing data architectures, including Data Warehouses and end‑to‑end pipeline solutions.
• Producing clean, informative visualizations with Streamlit, Posit, or Tableau.
• Collaborating within Agile teams and contributing to continuous improvement of development processes

Our Recruitment Process

• Interview with our Recruiter → Interview with our Business Manager → Client Meeting
• In justified cases, after the interview with the Recruiter, we introduce an additional technical verification step

What we offer

• Long‑term collaboration
• Ability to choose your preferred type of collaboration (regular employment contract with full benefits or flexible B2B contract)
• Technical training, certifications, and skills development
• Competence Center mentoring – being a member of the Competence Center community from day one is an opportunity to develop your skills, participate in various conferences, and share knowledge and experience with people who face the same challenges every day
• Clear career path
• Employee benefits package (Multisport, private healthcare, life insurance, subsidised city card)
• Friendly working atmosphere, team‑building events, and team‑building meetings

Recommendation System

Do you know someone who might be interested in this offer? Use our recommendation system and receive a bonus of up to PLN 7,000!

Link: https://astek.pl/system-rekomendacji/

Information Disclaimer

The controller of your personal data is ASTEK Polska sp. z o.o., with its registered office in Warsaw (00-133), at Aleja Jana Pawla II 22. You have the right to access your data, request its deletion, etc. Detailed information regarding data processing can be found HERE: Polityka prywatnosci

You have the right to withdraw your consent at any time. If you wish to withdraw your consent, please contact us by email at [e-mail] or in writing at the controller’s address.

Whistleblower reporting procedure at ASTEK Polska sp. z o. o.

Reference number

AO214854