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Data Engineer

Data Engineer

Data Solutions Engineer (rola projektowa)

PwC Polska

Krakow

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Role description

We help our Clients define their transformation journey enabled by the latest technology - generating insights to illuminate innovative ideas, creating valuable experiences for customers, achieving huge cost savings or embracing new collaborative mindsets.

We are looking for:

Data Solutions Engineer
(rola projektowa)
Your future role:

  • Design, build, and manage solution in Databricks / Microsoft Fabric environments,
  • Implement and maintain solutions in the Azure cloud, with a focus on tools such as Azure Databricks, Azure Data Factory, Azure Synapse, ,and Microsoft Fabric,
  • Leverage PySpark and develop data workflows,
  • Leverage Python to develop code used for data engineering purposes,
  • Ensure the quality of the code by writing unit / integration tests for delivered solutions,
  • Collaborate with the team and share knowledge with less experienced colleagues,
  • Adhere to the company's Delivery Excellence framework, contribute to ways of working and internal delivery guidelines.

Apply if you have:

  • At least 3 years of professional experience as a Data Engineer,
  • At least 2 years of hands-on experience with Databricks, PySpark, and Python for data engineering (e.g: usage of Pandas, SQL Alchemy),
  • Hands-on experience with MS Fabric or Azure Synapse.
  • Strong knowledge of Python software engineering (e.g: usage of FastAPI / Django and similar),
  • Strong knowledge of SQL,
  • Experience with Azure services like: Azure Data Factory, ADLS, Azure SQL Server, Key Vault
  • Understanding of OLTP, OLAP, Data Lake, Data Lakehouse, Data Mesh, and Data Fabric concepts,
  • Familiarity with at least one ETL tool (e.g., ADF, Informatica, Talend, AWS Glue),
  • Experience with BI tools (Power BI, Tableau),
  • Practical knowledge of software testing,
  • Team player attitude, preferably with experience in an international environment,
  • Strong analytical skills,
  • Very good communication skills (both oral and written communication),
  • Good command of English (C1 level),
  • Minimum communicative knowledge of Polish,
  • You demonstrate knowledge of new technologies and AI-based tools in your daily work (e.g., task automation, information analysis, content creation),
  • The ability to operate as a sole proprietor or business entity within Poland (due to the project-based nature of the employment).

By joining us you gain:

  • Work on diverse and intriguing projects, avoiding routine and promoting a consulting mindset,
  • Benefit from a hybrid work model, flexible hours, and the possibility of occasional remote work,
  • Opportunities to engage in international projects and occasional business trips.

Recruitment process:

  • Submit your resume,
  • Have a short phone conversation with our Recruiter,
  • Let's get to know each other better during the interview!

Your personal data will be processed for recruitment purposes by PwC Advisory sp. z o.o. sp.k. or another PwC entity which runs a recruitment process - (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.

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

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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?

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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.

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Data Solutions Engineer (rola projektowa)PwC Polska · Poland

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Data Solutions Engineer (rola projektowa) — PwC Polska | mentors.coach