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Data Engineer

Data Engineer

Data scientist

Bending Spoons

Warsaw

Apply on the employer's site

Role description

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

  • Design and improve data pipelines.
    Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks.
  • Ensure data correctness and scalability.
    Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems.
  • Develop internal data products and tooling.
    Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company.
  • Support platform-wide decision-making.
    Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking.
  • Leverage AI to accelerate work and uncover insights.
    Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends.

What we look for

  • Reasoning ability.
    Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
  • Drive.
    You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
  • Team spirit.
    You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
  • Proficiency in English.
    You read, write, and speak proficiently in English.

What we offer

  • Incredibly talented, entrepreneurial teams.
    You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
  • An exceptional opportunity for growth.
    We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
  • All. These. Benefits.
    Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
  • Competitive pay and access to company equity at a discount.
    Typically, we offer individuals with limited experience an annual salary of £85,797 in London and €66,065 elsewhere in Europe. For a candidate that we assess as possessing considerable relevant experience, the salary on offer tends to be between £112,189 and £250,512 in London, and €107,837 and €188,848 elsewhere in Europe. Compensation varies by location and expected impact, and grows rapidly as you gain experience and translate it into greater contributions. For individuals who demonstrate exceptional capability, we may offer compensation that extends beyond the usual ranges to reflect their higher expected impact. If you're offered a permanent contract, you'll also be able to receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.

Commitment & contract
Permanent or fixed-term. Full-time or part-time.

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries.

The selection process
In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process.

Some people hold back because they feel they lack experience or have an “imperfect” CV. If you like the role and believe you could excel over time, don’t self-reject.

All applications go through our careers page, which is the only way to be considered. If you pass our screening, you’ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here.

We set the bar high and won’t extend an offer until we’re confident we’ve found the right candidate. This is why a job may remain open for months or be reposted several times.

We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities—please let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from one of our offices, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Software Engineer - Data

Canvas Fundamental Research Group

Warsaw

Apply on the employer's site

Role description

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

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Software Engineer, Data Platform

Canvas Fundamental Research Group

Warsaw

Apply on the employer's site

Role description

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

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Software Engineer, Data Platform

Canvas Fundamental Research Group

Warsaw

Apply on the employer's site

Role description

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

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Snowflake Data Engineer

Nordea

Warsaw

Apply on the employer's site

Role description

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.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

144 more openings in this category and country

Data scientistBending Spoons · Poland

Apply on the employer's site