Matillion DPC / METL Administrator Engineer - Federated Data Platform

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.

Meet our Technology Strategy and Advisory Team
Our Technology Strategy and Advisory services help reinvent organizations and build business value thanks to resilient industry-specific technology architectures, as well as cost-efficient and flexible cloud and data solutions. We guide our Clients throughout the
transformation journey
, we start with a technology and ecosystem strategy that lays a future-ready foundation.

We work directly with our Clients, to solve their unique needs. We assume that no two Clients are alike therefore we are
flexible, innovative and able to find solutions to non-standard challenges.
We deliver consulting assignments across industries and geographies. We work with some of the
biggest organizations worldwide
, your impact will be
truly global
and you will collaborate with the brightest minds in the industry.

As a Data Modeler/Designer, you will play a critical role in shaping the organization's data architecture strategy to meet evolving business goals. Combining your technical expertise with a collaborative mindset, you will design and implement scalable, efficient, and secure data solutions. Working with cutting-edge technologies in cloud computing and AI, you will drive innovative approaches to data management, ensuring the organization stays ahead in a rapidly evolving digital landscape. By collaborating with cross-functional teams, you will deliver high-quality data models and structures that power analytics, streamline reporting, and enhance decision-making.

What’s in it for you:

• Collaborate with stakeholders to build and define data architecture strategies that align with business goals, ensuring strategic outcomes.

• Work closely with data engineers, data scientists, and IT teams to define robust data models and structures that support analytics and reporting needs.

• Oversee the integration of diverse data sources, ensuring consistency, reliability, and quality across data pipelines and systems.

• Evaluate and recommend appropriate technologies for data storage, processing, and analysis, balancing short-term priorities with long-term scalability.

• Ensure compliance with data governance, privacy, and regulatory standards, fostering high-quality data management practices.

• Provide thought leadership and guidance on best practices for data architecture, performance optimization, and troubleshooting.

Here’s what you’ll need:

• Bachelor’s or Master’s Degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or a related field.

• Strong expertise in Data Modeling and Design, including building conceptual, logical, and physical data models. Knowledge of modeling approaches such as Kimball, Data Vault, and Inmon is essential.

• Expert knowledge of Python and SQL for querying and managing databases.

• Proven experience in designing and managing Data Warehouses on platforms like Snowflake, Amazon Redshift, or Google BigQuery.

• Proficiency in at least one major cloud platform (AWS, GCP, Azure), including leveraging its data-related services.

• English is a must have, German is a plus.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if you do not meet every requirement, we wholeheartedly encourage you to submit your application.

WHAT WE OFFER?

• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.

• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).

• Employee Assistance Program - legal, financial, and psychological consultations.

• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares.

• Paid employee referral program.

• Private medical care and life insurance.

• Access to the WorkSmile benefits platform (possibility of using a wide range of products and services, including the Multisport card).

• Company car.

Working Conditions:

• Employment contract (umowa o pracę)

• Headquarter in Warsaw with offices in Kraków, Wrocław, Łódź and Gdańsk.

• Traveling to work with prestigious clients and deliver large-scale transformational change. We deliver our work in hybrid model, remotely, in our offices but also traveling and working closely with our Clients in their offices. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. That is why traveling declaration, willingness and ability to work at client locations mostly across Europe and beyond, for short or long term, is required.

Intelligent Consulting Hub
is a part of Europe Strategy & Consulting practice, pulling together multinational and cross-cultural professionals based at key locations across Europe. No matter what business, no matter where in the world, our unrivaled industry and function experts help our Clients to shape the future creating clearly defined, measurable value. We are delivering on the promise of technology and human ingenuity. Our Poland part of ICH Consulting Hub is located in Warsaw, Kraków, Wrocław, Łódź and Gdańsk. Your impact will be truly global as you will leverage an unmatched network of people, knowledge, tools and technologies and work alongside some of the best thinkers in the market.

"Join our world class capabilities and experience unique opportunities to grow your skills with us.”
– Małgorzata Nasiłowska, ICH Consulting Hub Lead.

WHAT WE BELIEVE:
Accenture does not discriminate employment candidates on the basis of race, religion, color, gender, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, orientation or any other basis impermissible under Polish law.

All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities.

Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.

Clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary, also its representative) can be found here:

https://www.accenture.com/pl\-pl/privacy\-policy

Please be advised that only selected candidates will be contacted.
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