Senior Data Engineer

Company Description
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.

Job Description
Project – the aim you’ll have
We are looking for a talented Cloud Engineer to join our team and work on exciting projects led by the Cloud Mind Service Unit. Our mission revolves around supporting entrepreneurs in uncovering the potential that the public cloud holds for their businesses. This is achieved through comprehensive analyses, valuable training and full engagement in the implementation processes, including leveraging advanced artificial intelligence systems.

Our scope of operation encompasses diverse projects, both long- and short-term. With our roots deeply embedded in the consulting realm, we prioritize openness to collaborate with a variety of clients and participation in captivating projects. If you share our passion for innovation and wish to step into a world where technology converges with business, join our team!

Position – How You’ll Contribute

• Creating and implementing solutions based on AI
• Prompt engineering
• Constant learning and implementation of new AI solutions

Qualifications
Expectations – the experience you need

• Experience in data analysis and engineering in Python
• Knowledge of Python
• Knowledge of frameworks such as Pandas/Spark/dbt/dask
• Experience in building ETL processes
• Experience working with public cloud (Azure, AWS, GCP)
• Experience in building and implementing cloud-based applications
• Ability to design and build applications based on machine learning models

Additional Skills – The Edge You Have

• Experience in prompt engineering
• Knowledge of frameworks such as Langchain/LlamaIndex
• Knowledge of MLOps tools
• Experience with various types of databases
• Ability to speak and write in English
• Good communication with the team and clients (Soft skills)

Additional Information

Our Offer – Professional Development, Personal Growth

• Flexible employment and remote work
• International projects with leading global clients
• International business trips
• Non-corporate atmosphere
• Language classes
• Internal & external training
• Private healthcare and insurance
• Multisport card
• Well-being initiatives

#WORLD

We are looking for a Senior Data Migration Engineer to join Sii and our delivery team focused on SQL Server to Snowflake migrations for a global client operating in the tobacco industry. You will contribute to the development of Matillion pipelines, AI-assisted code conversion, automated testing, and data reconciliation from the outset.

Your tasks

• Migrating database objects such as stored procedures, views, functions, and ETL logic from Microsoft SQL Server to Snowflake while ensuring functional equivalence
• Designing, developing, and optimizing Matillion ELT pipelines for loading and transforming data into Snowflake
• Building automated data validation and reconciliation frameworks in Python to compare source and target datasets during migration
• Analyzing and resolving data discrepancies related to data type conversions, SQL dialect differences, and transformation logic
• Leveraging AI coding assistants to accelerate code conversion and refactoring, while reviewing and productionizing AI-generated code
• Optimizing Snowflake performance by tuning queries, virtual warehouses, clustering strategies, and transformation workloads
• Creating automated testing suites to validate migration results and prevent regressions throughout the delivery lifecycle
• Implementing CI/CD processes using Git and deployment pipelines to manage database, Snowflake, and Matillion releases across environments

Requirements

• At least 5 years of hands-on experience developing and maintaining enterprise data warehouse solutions
• Strong expertise in Microsoft SQL Server (T-SQL) and Snowflake, including performance optimization, stored procedures, views, functions, and query tuning
• Proven experience migrating SQL Server workloads to Snowflake or another cloud data warehouse
• Hands-on commercial experience with Snowflake, including knowledge of its architecture and performance optimization techniques
• Strong Python skills for data engineering, with practical experience using pandas and pytest for automated testing and data validation
• Experience using AI coding assistants in professional software development, with the ability to review and productionize AI-generated code
• Advanced level of English

Nice to have

• Experience with Matillion ETL and building production ELT pipelines
• Knowledge of traditional data warehousing concepts and exposure to cloud/data platforms such as AWS or Azure
• A genuine willingness to learn, experiment, and troubleshoot, with comfort working through ambiguity and iterating on AI output
• Advanced level of Polish

Job no. JOB-G3A2T

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You

• Great Place to Work
• Solid financial situation
• Contracts with the biggest brands
• Centre of internal trainings
• Many experts you can learn from
• Open and accessible management team
• Profit sharing
• Passion Sponsorship program
• Regular integration events and trips
• Comfortable and well-equipped offices
• MySii app
• Medical care

Your role
Do you have a sharp, analytic mindset? Do you enjoy diving into large data sets and using statistical programs to produce valuable insights for the business? Do you constantly look for opportunities to automate processes, improve efficiency, and harness the power of AI where it can make a meaningful impact?

For our Quantitatiive Risk and AI Internship we’re looking for someone like you to:

• help accelerate our adoption of AI across the model development lifecycle by identifying, prototyping, and implementing innovative AI-driven solutions
• develop AI-powered tools and pipelines to automate processes and improve efficiency
• contribute to the development and enhancement of quantitative risk models, from data analysis and feature engineering to model testing and execution
• explore emerging AI technologies and trends to bring innovation and new ideas into the bank.

Job Type
Full Time

Job Reference #
341227BR

City
Kraków, Wroclaw

Your team
You will be working in the Corporate & Wholesale Credit Risk Scenario Models team within Credit Corporate Risk Models Stream in Krakow or Wroclaw, Poland, which is part of the group-wide Quantitative Risk Methodology department. Our team develops, refines, implements, and maintains mathematical, statistical and stress testing models to measure credit risk of UBS’s various credit portfolios for regulatory and business steering purposes. The sub-team in which you’ll be working focusses on developing and maintaining climate risk models (incl. the effect of climate change on credit risk) for the bank’s various group-wide portfolios incl. Corporate & Wholesale portfolios. In this context, you will drive innovation and automation using AI for quant teams affecting all parts of the model lifecycle.

We interact with several departments across the bank including Credit Officers & Portfolio Underwriters, Front Office, Finance, IT, Independent Validation Unit and Audit on a regular basis. For the development of our methodologies, we use techniques from quantitative risk management, financial mathematics and econometrics. Models are both developed and implemented by the team using R and Python.

Diversity helps us grow, together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

Your expertise

• completed at least four semesters of your Bachelor’s degree studies
• analytical and conceptual skills combined with good statistical understanding
• first experience in programming and the use of statistical software (e.g. Python, R) and SQL
• familiarity with AI tools, such as coding assistants, and willingness to learn new techniques
• you’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use
• open, collaborative and pro-active personality
• diligent and detail-oriented work style
• fluent in English, both verbal and written form.

About Us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.

We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.

Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Report misconduct: If you are made aware of any of our employees or individuals acting on behalf of UBS engaging in acts of misconduct under the Poland Whistleblowing Act, you may report your concerns through Poland-Whistleblowing@ubs.com

At Scoutz, we are looking for a Data & Integration Tech Lead for our credit initiative, where the data landscape is complex, integrations are numerous, and the requirements for correctness, traceability, and compliance are extremely high. Credit is fundamental to running a bank, and our ambition is to create an efficient, digital, and compliant credit process that gives customers fast financial insights and equips advisors with the right tools. That requires good data and an excellent data understanding.

This role is integration-first, with a strong data responsibility. Your most important contribution is ensuring an end-to-end understanding of how data moves across internal systems and external platforms via APIs and integrations: where it originates, how it is transformed, and how we ensure it can be used safely and correctly – both now and in the future.

This is a role for someone who thinks beyond individual teams and sees data as a critical part of the overall credit process. It is a key position within the credit domain, where you help ensure that data does not become a bottleneck – but an asset that can support growth, regulation, and change.

Primary Tasks And Responsibilities
As Data & Integration Tech Lead, you hold the technical and operational overview of data flows across the credit solutions – and how those flows are enabled through integrations and APIs. This is not a classic developer role, but it requires strong technical understanding and the ability to set direction, challenge designs, and ensure that integrations and data pipelines are robust, traceable, and well monitored in production.

You are not the “data owner”, but you are the one who ensures that:

• the integration and data architecture is coherent and consistent end-to-end
• API and data requirements are clear, aligned, and documented across systems
• data and integration issues are identified, prioritized, and handled in a structured way
• critical data flows are observable and compliant with governance, security, and regulatory requirements

Your key responsibilities

• Own the end-to-end overview of integrations and data flows across the credit landscape (internal systems and third-party platforms)
• Set direction for integration patterns and ensure API contracts and data requirements are defined early and documented clearly
• Ensure data lineage, traceability, and integration documentation across systems
• Ensure monitoring and observability of critical integrations and data flows in production
• Drive resolution of integration and data flow issues together with teams and vendors
• Ensure alignment across integration architecture, processes, and ways of working
• Ensure scalability, security, and compliance across integrations, APIs, and data solutions
• Work closely with teams and relevant data roles to ensure direction and progress

To succeed, you will:

• Think holistically and long term
• Understand how changes in one system impact the overall credit process
• Look beyond “data within the team” and focus on data across solutions and the organization
• Be curious and comfortable independently investigating how data flows across systems and organisations, using available documentation, APIs, logs, configuration, data models, and implementation details to verify understanding rather than relying blindly on existing descriptions
• Be proactive and help the organization stay one step ahead

Your competencies and experience:

• Deep understanding of data modelling, metadata, data integration, and end-to-end data flows
• Solid experience with data governance and regulatory requirements (e.g. GDPR, BCBS 239, or similar)
• Experience working with complex system integrations in enterprise contexts, including third-party platforms
• The ability to work in a structured and strategic way at the intersection of technology and business
• Strong collaboration skills and the ability to bridge multiple roles and organisations
• Technical understanding and preferably experience with cloud platforms (Azure/AWS), data platforms, integration patterns (e.g. event streaming), and observability/monitoring

Nice to have:

• Hands-on technical confidence to read Salesforce Apex/Java code and Salesforce Flows when needed to understand how data actually moves through the solution

Be your best self with Scout'z Benefits!
We offer a diverse range of benefits for our employees. Here are just a few of them.

• Type of cooperation: employment contract
• Mental health support
• Free lunch at the office
• Professional development
• Referral bonus up to PLN 10,000
• PLN 600 on a benefit platform a month
• Passion clubs and social events (Tennis, salsa dancing, board games, family picnics and more!)

What does the recruitment process look like?

• Send us your CV: We want to get to know you
• Screening call: Let’s chat and see if we’re a match
• Meet our talent partner and technical expert: Learn more about the job, BEC Poland, and tell us more about your skills and experience.
• Meet your future manager and team: See who you’ll be working closely with.
• Time to sign the contract: We’re ready to welcome you to BEC!

If you have any questions related to the position, please contact Patrycja Krzykala - Talent attraction partner.

BEC is in the process of being acquired by our largest customer and co-owner, Nykredit, which is Denmark's largest mortgage provider and third-largest bank. We will become part of a new and larger organization called Nykredit Financial Technologies. In the transition phase, we are recruiting for roles that we expect to be highly needed in our future organization.