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Data Engineer

Data Engineer

Data and MLOps Engineer

Hatch

Katowice

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Requisition ID:
101203

Job Category:
Digital

Location:
Katowice, Slaskie, Poland

Join a company that is passionately committed to the pursuit of a better world through positive change. With more than 70 years of business and technical expertise in mining , energy , and infrastructure , our 10,000 colleagues in 150 countries tirelessly work toward bettering the industries in which we operate. With practical solutions that are safe, innovative and sustainable, we think globally while acting locally. Are you looking for an opportunity to join a diverse group of professionals who are committed to remaining exceptional? We look forward to hearing from you.

We're at the forefront of our clients' digital transformation journey , successfully implementing emerging digital services into our clients' projects and operations that unlock a step change in their performance. Join the team to improve project outcomes, leverage the digital twin , deliver systems integration and interoperability, and support decision-making, autonomous execution , and integrated operations and performance centers.

Scope of Position
Hatch develops digital and AI solutions across the Metals, Energy, and Infrastructure sectors to enable operational safety, efficiency, value chain optimization, and real-time process control and automation. Our clients are accelerating investments in data platforms, industrial IoT, cloud-native architectures, IT/OT integration, and AI-enabled applications to unlock real-time insights and improve operational performance.

Hatch is seeking a highly motivated Data and MLOPs Engineer to join our Digital team in Katowice, Poland. Reporting to the Global Director of Analytics and Decision Solutions, this role will play a critical part in analyzing, implementing, scaling and supporting data and AI solutions across industrial operations and enterprise value chains.

The Successful Candidate Will Be Responsible For
Solution Development

  • Learn, understand, and leverage Hatch and/or clients’ existing data infrastructure to design and implement scalable, secure, and high-performance data solutions within industrial IT/OT environments, supporting AI/ML, optimization, and analytics applications.
  • Build, configure, and maintain real-time and batch data pipelines to ingest, process, and transform industrial datasets, including time-series process data, sensor data, and operational data from diverse sources.
  • Collaborate closely with software developers, data scientists, and domain experts to operationalize AI, machine learning, and optimization models into scalable, maintainable, and production-grade systems deployed in cloud and/or edge environments.
  • Design, implement, and maintain MLOps workflows and infrastructure to support reliable model training, automated deployment, monitoring, lifecycle management, and version control for data, models, and pipelines.

Industrial Systems Integration

  • Collaborate with process engineers, control specialists, software teams, and client IT/OT stakeholders to implement seamless integration across plant systems and enterprise applications, including data historians, control systems, edge computing environments, etc.
  • Ensure alignment with cybersecurity standards and network architecture best practices (e.g., DMZ architecture, secure APIs, and secure communication protocols).

Delivery Excellence and Technology Development

  • Understand client business objectives, operational requirements, and technical constraints to support the delivery of practical and scalable solutions.
  • Support rapid proof-of-value initiatives, pilot deployments, and solution implementation activities, with consideration for transitioning prototypes into scalable and sustainable production environments.
  • Contribute to technical documentation and the development of reusable assets, including standardized data pipelines, MLOps and DevOps practices, edge AI/optimization deployment frameworks, and implementation accelerators.
  • Stay current with emerging technologies and industry trends in cloud and edge computing, distributed systems, AI/ML platforms, data engineering, and industrial digital transformation.

Experience and Skills Important for the Role

  • Bachelor’s or master’s degree in computer science/engineering, data engineering, data science, or a related field.
  • Strong programming skills in Python; experience with additional programming languages (e.g., Java, MATLAB, etc.) is considered an asset.
  • Solid understanding of database technologies, including SQL, query optimization, schema design, and complex joins; familiarity with NoSQL and time-series databases is considered an asset.
  • Experience building and maintaining data pipelines and workflows using modern data platforms such as Databricks, including technologies such as Unity Catalog, Delta Live Tables, MLflow or similar tools.
  • Hands-on experience developing and deploying solutions on cloud platforms such as Azure, GCP, or AWS; relevant cloud certifications (particularly Azure or GCP) are considered a strong asset.
  • Experience with CI/CD pipelines and DevOps practices, including tools such as Azure DevOps, GitHub Actions, Git, or similar technologies.
  • Experience developing APIs and containerized applications, including RESTful services and technologies such as Docker and Kubernetes.
  • Strong collaboration and communication skills, with the ability to work effectively across multidisciplinary teams and quickly learn and apply new technologies and concepts.
  • The following experience and skills are considered strong assets:
  • Familiarity with industrial IT/OT environments, including industrial data historians (e.g., AVEVA PI System), industrial protocols (e.g., OPC UA, MQTT), and real-time data integration architectures.
  • Experience developing or operationalizing LLM and Generative AI workflows, including retrieval-augmented generation (RAG) use cases.
  • Experience with modern frontend technologies (e.g., React) for building data-driven web applications and user interfaces.

Multilingual capability in English, Spanish, and/or Portuguese

Why join us?

  • Work with great people to make a difference
  • Collaborate on exciting projects to develop innovative solutions
  • Top employer

What we offer you?

  • Flexible work environment
  • Long term career development
  • Think globally, work locally

Don't meet every single requirement? You don't need to. At Hatch, we are building a diverse, inclusive workplace that fosters innovation. If you're interested in this role, we encourage you to apply even if your past experiences don't perfectly align with the skills we've listed.

We're committed to fostering a workforce that reflects the diversity of the communities in which we operate and serve. Hatch is an Equal Opportunity Employer that considers applicants without regard to age, race, color, national origin, citizenship, religion, creed, gender, sexual orientation, marital status, disability, veteran, or any other protected status. If you have any accommodation requirements, please let us know. We'll do our best to meet your needs in accordance with applicable local legislation.

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Data Engineer

Software Engineer - Data

Canvas Fundamental Research Group

Warsaw

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Описание вакансии

Apply Now

Experience
Experienced Professionals

Location

Warsaw, PL

Focus

Data Engineering

Business

Point72

A Career with Point72's Technology Team

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

What You'll Do
As a software engineer, you will help build the next generation of data infrastructure at the firm—thinking holistically about systems across APIs, data models, cloud infrastructure, and user experience. As demand for direct data access, enriched datasets, and AI-powered workflows grows, you will help create a unified, enterprise-grade data platform with clear ownership, shared standards, and the organizational structure to deliver trusted data at scale. Specifically, you will:

  • Build and maintain agentic workflows and tooling that leverage large language models
  • Define the service contracts, data models, and integration patterns that will serve as future firmwide standards for data access
  • Build high-impact, enterprise-grade data services and pipelines that support research, trading, and AI projects across the firm
  • Ensure backend systems are reliable, observable, and performant at scale
  • Containerize services and orchestrate workloads to ensure resilient, observable, and scalable deployments together with cloud engineers
  • Contribute to CI/CD pipelines, infrastructure as code, and deployment automation

What's Required

  • Bachelor’s degree in computer science or a similar engineering field
  • 3+ years of professional experience in software engineering roles building enterprise-grade systems
  • Strong programming skills in Python and experience with team development on business-critical systems
  • Experience with relational databases, including schema design and performance tuning
  • Exposure to agentic development in a commercial environment
  • Exposure to cloud development
  • Commitment to the highest ethical standards

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

  • Sports card
  • Private life insurance
  • Private medical and dental care, with vision allowance
  • Private pension scheme
  • Volunteer opportunities
  • Support for employee-led affinity groups representing women, people of color and the LGBT+ community
  • Business travel accident insurance
  • Employee assistance program
  • Educational assistance reimbursement

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72\.com/.

Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We're looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at https://point72\.com/Warsaw.

Apply Now

Job Application Checklist

  • Résumé
  • Education background

Apply Now

Still Exploring?

Browse Open Roles

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Software Engineer, Data Platform

Canvas Fundamental Research Group

Warsaw

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Описание вакансии

Apply Now

Experience
Experienced Professionals

Location

Warsaw, PL

Focus

Data Engineering

Business

Point72

A Career with Point72’s Technology Group

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

We’re looking for individuals that are highly proficient in their respective technology platform, articulate, solution driven, client focused, and proactive in building their technology skills.

What you’ll do

Requirements
You will be part of the team that builds a multitenant data platform to onboard internal and external data sources and perform a central role in data ingestion, consumption, and cataloguing. You will join a team of experts in data pipelines focusing on data streaming and acquisition, storage of the data in multiple forms (raw, normalized, operational vs historical), ELT, transformation, distribution, access layers for different types of technical access and entitlements. Building and enhancing our data platform includes applying data lake components with raw data, joined operational data, a warehouse for history and API, and an access layer, across on prem and cloud technologies and clients. In this role, you will be responsible for leading and providing best practices for the team managing the Data Platform on AWS for our Firm. You will work closely with the architect/business for gathering requirements and delivering. As a Lead Python Engineer, you will be:

  • Working together with Engineering Managers and the rest of Leadership team in Poland and US
  • Planning projects and successfully delivering them with the team
  • Building data ingestion pipelines in the cloud and assisting in extending our AWS cloud offering
  • Working extensively in Databricks platform and leveraging all of the Databricks features (pipelines, Unity Catalogue, streaming, etc)
  • Improving excellence of the team, processes, and practices within the company
  • Working with customers towards a project’s success

What’s Required
The ideal candidate should be experienced in Python and AWS Cloud with good communication skills.

  • Excellent Python and software craftsmanship skills (more than 3 years)
  • Experience with working in microservices framework and event-driven architectures
  • Experience with Spark (building scalable and maintainable pipelines in PySpark and Scala)
  • Experience with Spark Streaming (building low latency pipelines)
  • Experience with Delta format (opensource Delta Lake project)
  • Experience with Kubernetes
  • Experience with MongoDB
  • Experience with AWS Cloud
  • Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

  • Sports card
  • Private life insurance
  • Private medical and dental care, with vision allowance
  • Private pension scheme
  • Volunteer opportunities
  • Support for employee-led affinity groups representing women, people of color and the LGBT+ community
  • Business travel accident insurance
  • Employee assistance program
  • Educational assistance reimbursement

About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72\.com/working\-here

Apply Now

Job Application Checklist

  • Résumé
  • Education background

Apply Now

Still Exploring?

Browse Open Roles

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Software Engineer, Data Platform

Canvas Fundamental Research Group

Warsaw

Откликнуться на сайте работодателя

Описание вакансии

Apply Now

Experience
Experienced Professionals

Location

Warsaw, PL

Focus

Data Engineering

Business

Point72

A Career with Point72’s Technology Group

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

We’re looking for individuals that are highly proficient in their respective technology platform, articulate, solution driven, client focused, and proactive in building their technology skills.

What you’ll do

Requirements
You will be part of the team that builds a multitenant data platform to onboard internal and external data sources and perform a central role in data ingestion, consumption, and cataloguing. You will join a team of experts in data pipelines focusing on data streaming and acquisition, storage of the data in multiple forms (raw, normalized, operational vs historical), ELT, transformation, distribution, access layers for different types of technical access and entitlements. Building and enhancing our data platform includes applying data lake components with raw data, joined operational data, a warehouse for history and API, and an access layer, across on prem and cloud technologies and clients. In this role, you will be responsible for leading and providing best practices for the team managing the Data Platform on AWS for our Firm. You will work closely with the architect/business for gathering requirements and delivering. As a Lead Python Engineer, you will be:

  • Working together with Engineering Managers and the rest of Leadership team in Poland and US
  • Planning projects and successfully delivering them with the team
  • Building data ingestion pipelines in the cloud and assisting in extending our AWS cloud offering
  • Working extensively in Databricks platform and leveraging all of the Databricks features (pipelines, Unity Catalogue, streaming, etc)
  • Improving excellence of the team, processes, and practices within the company
  • Working with customers towards a project’s success

What’s Required
The ideal candidate should be experienced in Python and AWS Cloud with good communication skills.

  • Excellent Python and software craftsmanship skills (more than 3 years)
  • Experience with working in microservices framework and event-driven architectures
  • Experience with Spark (building scalable and maintainable pipelines in PySpark and Scala)
  • Experience with Spark Streaming (building low latency pipelines)
  • Experience with Delta format (opensource Delta Lake project)
  • Experience with Kubernetes
  • Experience with MongoDB
  • Experience with AWS Cloud
  • Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

  • Sports card
  • Private life insurance
  • Private medical and dental care, with vision allowance
  • Private pension scheme
  • Volunteer opportunities
  • Support for employee-led affinity groups representing women, people of color and the LGBT+ community
  • Business travel accident insurance
  • Employee assistance program
  • Educational assistance reimbursement

About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72\.com/about.

Apply Now

Job Application Checklist

  • Résumé
  • Education background

Apply Now

Still Exploring?

Browse Open Roles

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Snowflake Data Engineer

Nordea

Warsaw

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Описание вакансии

Job ID: 4086
Welcome to Group Technology, where we pride ourselves on engineering solutions and direct Nordea’s transformation by providing a holistic technological view and structured understanding of the bank, and its surrounding environment to enable the Customer Vision and the Business Strategy.

Nordea is a place where traditions meet tomorrow. We're not just a bank, we're a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people’s daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry.

About Our Team
You'll join a Large Data Foundation team in a banking environment responsible for building and maintaining transformation layers on Snowflake — turning ingested raw data into clean, governed, analytics-ready datasets consumed for IRB risk Model development and Model use for risk parameters.

We work cross-functionally — you won't just write code handed to you in a ticket. You're expected to understand the data you work on, contribute to requirements elicitation, own development and involving in all phases of testing, and take part in CI/CD and deployment processes. If you need a clear line between "analyst work" and "developer work", this probably isn't the right fit.

You know Snowflake well enough to choose the right tool for the job: when to write a SQL procedure, when Snowpark makes more sense, when a Dynamic Table is the answer, and when a simple view is enough. You don't reach for complexity when simplicity works.

We don't expect you to know everything from day one. You'll get full support from the team — domain knowledge, technical context, onboarding to our codebase and standards. There are people around you who will help you build internal knowledge, and we treat knowledge sharing as part of the job, not a side activity.

Main responsibilities in this role:

  • Design and build transformation jobs in Snowflake — SQL stored procedures, Snowpark (Python/Scala), Dynamic Tables
  • Engage in requirement analysis — understand the business and data context before writing code, not after
  • Translate business and analytical requirements into clean, maintainable transformation logic
  • Apply Snowflake best practices: clustering, micro-partition awareness, query optimization, warehouse rightsizing
  • Contribute to data modeling decisions — schema design, naming conventions, partitioning strategies
  • Own CI/CD for your deliverables — branching, deployments, environment promotion via Bitbucket and Jenkins
  • Write and maintain Airflow DAGs that orchestrate Snowflake transformation workloads
  • Contribute to our data exchange layer (Database Roles, Secure Views, cross-account sharing)
  • Review code, pair with team members, contribute to team standards

Who You Are
Your background and skills include:
Must have:

  • 8+ years in data engineering with at least 2 years hands-on Snowflake in production
  • Strong SQL — window functions, QUALIFY, MERGE, recursive CTEs, FLATTEN/LATERAL for semi-structured data, performance tuning
  • Snowpark (Python or Scala) — building transformation logic, understanding when it's preferable to pure SQL
  • Understanding of Snowflake execution model: micro-partitions, clustering, pruning, query plan reading
  • Python or Scala for pipeline logic and tooling
  • Airflow — authoring DAGs, sensors, retriesGit, Bitbucket, CI/CD — comfortable owning deployments, not just writing code
  • Financial services or banking domain knowledge — you need to understand what the data means, not just move it. Credit risk, finance, or regulatory reporting background is expected

Nice to have:

  • Snowflake Dynamic Tables — knows when to use them vs Tasks vs stored procedures
  • Streams and Tasks for incremental processing patterns
  • Snowpipe or Snowpipe Streaming
  • DataStage — for working alongside legacy pipelines
  • Streamlit in Snowflake
  • SAFe or scaled agile experience

Mindset:

  • Comfortable working across the full delivery lifecycle — analysis, development, testing, deployment
  • Chooses the simplest Snowflake feature that solves the problem — not the most impressive one
  • Reads the query profile before optimizing, doesn't guess
  • Treats auditability, lineage, and access controls as part of the design, not an afterthought

Working with AI:

  • Actively uses AI coding tools as part of daily work — not occasionally
  • Understands how LLMs work well enough to use them effectively: knows what context to provide, how to scope a prompt, and when to trust the output versus when to push back
  • Keeps up with the AI tooling market — aware of what's available, what's improving, and what's relevant for data engineering work

Our stack:

  • Snowflake, Snowpark (Python/Scala), Dynamic Tables, Airflow, DataStage (legacy interop), Streamlit in Snowflake, Bitbucket, Jenkins, IntelliJ/VS Code, GitHub Copilot, Gemini Plugin, Cortex and more.

What We Offer
Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us.

People
are driven by many different factors. For some, it’s to take their career to the next level. For others, it’s to break new ground within their area of expertise – in other words, with us, you will always move forward.

A culture
that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds in a vibrant working environment.

Hybrid working model –
we believe in the value of bringing people together and at the same time we embrace the freedom of flexibility.

Diversity and inclusion
are a natural part of our daily work. We know that an inclusive workplace is a sustainable one. We genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together. Every day we strive to find new ways to improve diversity and inclusion within our community e.g. we have signed the European Diversity Charters in the countries where we operate to show our commitment and engage with others to continue learning and improving.

If this sounds like you, get in touch!

Next steps
Submit your application no later than 13/08/2026.

The recruitment process consists of the following steps:

  • Preliminary CV selection
  • Phone conversation with the recruiter
  • Online interview with the hiring leader
  • Background check

We enable dreams and aspirations for a greater good.
We build relationships.
We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates.

We learn and develop.
We take pride in being experts and thinking ahead. We use our expertise to meet our customers’ needs, from the simplest to the most complex. We bring a growth mindset to our work that enables us to focus on a broader perspective in our daily challenges.

We lead change.
We are responsible and aware of the impact of our decisions, both for our customers and for our local and global communities. Mindful of our responsibility towards current and future generations, we have made sustainability an integrated part of our business strategy.

We are Nordea.
We have a 200-year history of supporting and growing the Nordic economies and our values are deeply rooted in these open, progressive and collaborative societies. As one of the biggest employers in the Nordics, Poland and Estonia, you have excellent opportunities to evolve, develop and move forward with us. Studies show that members of underrepresented communities don’t apply for jobs unless they tick all the qualification boxes. If this is part of why you hesitate to apply, we would like you to reconsider and give it a chance. Maybe your profile fits our needs much better than you think.

Only for candidates in Finland:
A security clearance will be performed for the person selected for this position.

Only for candidates in Poland:
Please include permit for processing personal data in CV as following:

In accordance with art. 6 (1) a and b. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) hereinafter ‘GDPR’. I agree to have: my personal data, education and employment history proceeded for the purposes of current and future recruitment processes in Nordea Bank Abp.

The administrator of your personal data is: Nordea Bank Abp operating in Poland through its Branch, address: Aleja Edwarda Rydza Śmiglego 20, 93-281 Łodź. Your personal data will be processed for the recruitment processes in Nordea Bank Abp. You have a right to access your personal data, right to rectify and right to delete. Disclosing the personal data in the scope specified by the provisions of Polish Labour Code from 26 June 1974 and executive acts are mandatory. Providing personal data is necessary to conduct the recruitment processes. The request for the deletion of your personal data means resignation from further participation in recruitment processes and causes the immediate removal of your application. Detailed information concerning processing of your personal data can be found at: https://www.nordea.com/en/doc/nordea\-privacy\-policy\-for\-applicants.pdf

We reserve the right to reply only to selected applications.

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Data and MLOps EngineerHatch · Poland

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