We are seeking a talented Senior Full-stack Developer with expertise in React.js and Java to join our dynamic team on an exciting project in the banking sector. If you are passionate about building robust, scalable applications and eager to contribute to a fast-paced, innovative environment, this opportunity may be an excellent fit for you. Please note that hybrid work, with 3 days from the Client office in Wroclaw, is possible.
responsibilities
Help design, develop, and improve the digital product
Apply a broad range of software engineering practices, from analyzing user needs and developing new features to automated testing and deployment
Ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements
Build observability into our solutions, monitor production health, help to resolve incidents, and remediate the root cause of risks and issues
Share knowledge and expertise with colleagues and contribute regularly to our engineering culture and internal communities
requirements
Thorough understanding of React.js and with an ability to write custom hooks and responsive reusable components
In-depth knowledge of JavaScript, CSS, HTML, and front-end languages
Proven experience in Java and Spring
Knowledge of GitLab CI/CD
Knowledge of testing frameworks, including Jest and React Testing Library, Playwright
nice to have
Knowledge of Microsoft Azure, Terraform
Working experience in Agile methodologies (Scrum, Kanban) and knowledge of associated tools like JIRA or GitLab boards
We are seeking a highly motivated and experienced Presales Solution Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise. The ideal candidate combines technical prowess with strong consulting and interpersonal skills, thrives in dynamic environments, and can align client requirements with modern data and analytics capabilities. This is an exciting opportunity to work with cutting-edge technologies and make a tangible impact across global industries.
responsibilities
Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination
requirements
Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
Strong technical knowledge of data platforms (e.g., Databricks, Snowflake, AWS/Azure/GCP Data Services), ETL processes, data modeling, BI tools, and data visualization frameworks (e.g., Power BI, Tableau)
Familiarity with data science techniques and proficiency in analyzing client needs to align with technical solutions
Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
Proven track record in engaging with senior stakeholders and delivering impactful presentations or pitches
Experience in creating detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences
Join us as a Senior Full Stack Java Developer with Angular for a long-term engineering team building and evolving core digital platforms for a leading US wealth management business. You will work with modern technologies—Java, JavaScript/TypeScript, Angular, Azure, Kubernetes and more—to deliver scalable, secure and high-performance applications that power investment advice, trading, lending and digital engagement for high-net-worth clients. Our client is a global leader in wealth management, providing market-leading platforms for financial advisors and clients in the US. Their solutions support a wide range of services from everyday banking to complex portfolio strategies impacting thousands of users daily. This role offers a hybrid model with 3 days per week working from the client's office in Wroclaw, Poland. Ready to launch your career in cloud engineering? Apply now and join our global team!
responsibilities
Design and develop backend services using Java and PostgreSQL following microservice and cloud-native best practices
Build responsive front-end interfaces with Angular and modern JavaScript/TypeScript integrating with RESTful and event-driven backends
Upskill in ReactJS and contribute to front-end development using React within 1–2 months of onboarding
Architect and deploy cloud-native applications on Microsoft Azure utilizing services such as App Service, Functions, containers and managed databases
Orchestrate and maintain containerized applications with Kubernetes focusing on reliability, scalability and observability
Collaborate with cross-functional distributed teams (front-end, back-end, DevOps, QA, BA, Product) to deliver end-to-end solutions
Contribute to code quality, testing, CI/CD and production support as part of an agile DevOps-oriented delivery model
requirements
4+ years of professional experience in full-stack development with Java and Angular
Strong proficiency in Java, JavaScript/TypeScript and Angular
Experience with RESTful APIs and event-driven architectures
Familiarity with cloud platforms preferably Microsoft Azure
Experience with containerization and orchestration (Kubernetes, Docker)
Solid understanding of relational databases especially PostgreSQL
Willingness and ability to upskill in ReactJS to a production-ready level within 1–2 months
Good command of English (B2 or higher) and strong communication skills
Experience working in Agile and DevOps-oriented teams
nice to have
Experience with ReactJS in production environments
Knowledge of additional backend languages (Python, Rust, Node.js)
Familiarity with financial services or wealth management domains
Experience with CI/CD pipelines and cloud-native monitoring tools
Exposure to distributed international teams and large-scale enterprise projects
We are seeking a Senior/Lead Data Software Engineer to join our team working on a scalable, ML-ready platform that enhances portfolio model development and deployment with advanced data governance and AI capabilities. You will play a key role in migrating from an IaaS Big Data platform to Azure-native Databricks, optimizing data workflows and improving data quality. Join us to contribute to innovative solutions that boost client services and regulatory compliance.
responsibilities
Migrate and optimize over 500 data jobs using Azure Databricks optimization techniques
Manage and process 12 TB of data efficiently across platforms
Tune machine learning models for Azure environments using Java Spark and Delta tables
Update and maintain libraries to address security vulnerabilities
Develop and maintain ETL/ELT pipelines using PySpark and related technologies
Collaborate with cross-functional teams to integrate GenAI capabilities into data workflows
Monitor data quality and implement improvements to ensure accuracy and reliability
Automate deployment and operational tasks using Terraform and GitLab CI/CD
Support data governance initiatives to comply with regulatory standards
Troubleshoot and resolve performance issues in data processing systems
Document system processes and provide technical guidance to junior engineers
Implement best practices for code quality and data security
Participate in code reviews and knowledge sharing sessions
Optimize costs associated with data storage and processing
requirements
Proficiency in Python and Spark with at least 3 years in data engineering roles
Strong experience with Azure Databricks and PySpark
Proven expertise in designing and implementing ETL/ELT solutions
Experience migrating big data platforms to Azure-native services
Proficiency with Delta tables for model tuning
Knowledge of data governance and regulatory compliance frameworks
Familiarity with Docker, Kubernetes (AKS), and Terraform for infrastructure automation
Ability to manage large data volumes with high efficiency
We are seeking a highly skilled Lead Python Engineer with experience in Generative AI and Azure, for our Client, a global leader in the area of banking, investment banking and financial services. You’ll be working in the AI platform team, which consists of data scientists, software engineers, and business analysts. They process huge amounts of data for multiple use cases, using both classic machine learning models and modern generative AI. They are quickly growing in the areas of chatbots and agents, and are technologically savvy and cloud native. This position offers a flex-hybrid model of work, with 3 days per week working from the office located in Krakow.
responsibilities
Develop Python applications addressing business needs and adhering to technical standards
Collaborate with cross-functional teams to deliver high-quality software solutions
Utilize Azure services and related technologies to build scalable systems
Apply event-based design principles for improving application performance
Incorporate expertise in RAG architecture to deliver innovative solutions
Resolve issues and optimize software to ensure reliability and peak performance
Stay informed about emerging technologies, trends, and best practices
requirements
Proficiency in Python programming
Experience mentoring and leading engineering teams effectively
Background in Generative AI and LLMs
Familiarity with Azure environments and cloud platforms
Competency in event-based design techniques
Knowledge of the foundational concepts of RAG architecture
Skills in analytical problem-solving with close attention to detail
Strong aptitude for communication and teamwork
nice to have
Background in working within the financial services sector
Qualifications in Azure or equivalent cloud expertise
Flexibility to use multiple programming languages or frameworks
Understanding of Agile workflows and DevOps principles
We are seeking a highly skilled Senior SAP MDM Consultant (Data Steward) to lead and manage master data initiatives within our organization. The ideal candidate will possess strong expertise in SAP Master Data Management, data governance, and system integrations, along with the ability to collaborate across functional teams to ensure data quality and accuracy.
responsibilities
Lead master data management efforts, including data profiling, harmonization, and cleansing, to maintain data quality
Ensure seamless integration of SAP ECC and SAP S/4HANA systems, addressing interface issues as they arise
Collaborate with Supply Chain, Finance, Quality, and Sales teams to resolve master data issues effectively
Act as the primary point of contact for master data issues affecting regional operations and logistical processes
Oversee data migration activities, leveraging ETL tools to enable smooth transitions
Drive data governance initiatives to ensure consistency, accuracy, and completeness of master data
Manage master data maintenance using both SAP standard and non-standard tools/transactions
Provide expertise in the implementation and optimization of key master data objects, including Material Master, Business Partner, and Finance master data
requirements
3+ years of experience in SAP Master Data Management or similar environments
Knowledge of data modeling, data governance, and data quality management concepts
Expertise in integrating SAP ECC and SAP S/4HANA systems and addressing interface troubleshooting
Proficiency in working with data profiling, harmonization, cleansing, and migration processes using ETL tools
Understanding of key business master data objects, including Material Master, Business Partner, and Finance master data
Strong analytical, problem-solving, and communication skills to interact with both business and technical stakeholders
Flexibility to collaborate effectively across cross-functional teams such as Supply Chain, Finance, and Sales
Upper-Intermediate English language proficiency (B2)
nice to have
Certification in SAP Master Data Management or related domains
Background in participating in data governance and data quality initiatives
Familiarity with managing enterprise master data objects beyond core business domains
We are seeking a Solution Architect – Enterprise Services (Financial Crime) to shape and govern the next generation of Financial Crime capabilities, including Transaction Screening, Monitoring, pKYC/pKYB, Sanctions, CDD, EDD and Customer Risk Assessment. This role is pivotal in protecting the bank, its customers and the broader financial system by delivering robust, scalable and compliant FinCrime solutions.
responsibilities
Architect and govern end-to-end Financial Crime solutions across the full lifecycle, ensuring scalability, robustness and regulatory compliance
Translate business, regulatory and compliance requirements into practical, implementable architectures
Set architectural direction for AML transaction monitoring, sanctions screening, fraud prevention and risk scoring
Lead the definition of target-state architectures and multi-year roadmaps for Financial Crime systems
Contribute to architectural assessments in the context of mergers and acquisitions
Ensure consistency with enterprise architecture principles, patterns and governance
Serve as a trusted architecture advisor to CIO, Financial Crime Compliance, Operations and Data teams
Collaborate with engineering teams to ensure solutions align with architecture standards
Represent architecture in regulatory, audit and risk forums as required
Conduct peer reviews and validate designs from engineering teams to uphold architectural integrity
Oversee decommissioning, data archival and migration approaches in line with governance
We are looking for a Data Engineer who will take a leading role in designing and implementing a scalable enterprise search engine - a platform that provides stakeholders with an intuitive, efficient, and reliable way to query and explore the firm’s data landscape. Our client is a leading global financial services firm providing wealth management, investment banking, and asset management services to clients worldwide. This is a hybrid role requiring presence in the client's office in Krakow 3 days a week, with flexible working hours.
responsibilities
Design, build, and optimize an internal data search engine
Analyze datasets and metadata to improve searchability, indexing, and relevance
Gather and refine search and data discovery requirements with business and IT stakeholders
Translate business needs into technical specifications and support Agile delivery
Ensure integration with the broader data ecosystem (data, platform, analytics teams)
Support testing and monitor search performance, accuracy, and usability
Prepare analytical reports on data availability and search effectiveness
requirements
3 years + of experience as a Data Engineer, including exposure to large-scale or Big Data environments
strong experience with SQL and database systems (relational and NoSQL), including query optimization and schema design
strong programming skills in Python and Spark
Experience with Azure cloud services, including Azure Databricks, Data Lake, and Azure Data Factory, would be beneficial
strong communication and stakeholdermanagement skills, with the ability to translate search-related needs into technical solutions
Our UK-based client is expanding its Finance & Risk Solution Architecture capability and is seeking four senior Solution Architects to support a major transformation agenda across core finance, risk, and regulatory functions. Each role offers architectural ownership within one of four specialist domains: Treasury , Finance , Risk Models , or Regulatory Reporting . In this high-visibility role, you will shape and govern end-to-end architecture across business-critical capabilities in a complex enterprise environment, partnering closely with senior stakeholders across Finance, Risk, Operations and Technology. This will require you to translate strategic priorities into scalable, resilient, and implementable solutions, while balancing immediate delivery demands with long-term architectural direction. This is a role for architects who combine strategic perspective, delivery focus and confidence to influence at a senior level.
responsibilities
Design and govern end‑to‑end architecture solutions, translating Finance & Risk business needs into robust and scalable designs
Partner closely with Finance, Risk, Operations, Architecture, and Technology stakeholders
Contribute to or review architecture for mergers & acquisitions initiatives
Develop clear functional architecture and define logical component interactions
Support decommissioning and archival initiatives as part of the long‑term architectural roadmap
Balance immediate business outcomes with long‑term architecture strategy
Work with engineering teams to ensure technical designs align with published architecture
Conduct peer reviews to maintain architectural integrity and standards compliance
Create practical, implementable architectures aligned to IT principles, standards, and governance processes
Communicate effectively and engage confidently with senior stakeholders
Operate autonomously with strong ownership mindset
Demonstrate thought leadership, initiative, and a delivery-focused approach
requirements
Significant experience (10+ years) as a Solution Architect, ideally within complex financial services
Deep expertise in one or more Finance & Risk domains
Proven experience designing solutions at enterprise scale within structured governance
Proficiency in stakeholder engagement, thought leadership, delivery-focused approaches
Excellent written and verbal communication skills in English (C1 level)
nice to have
Knowledge of BIAN, TOGAF, ArchiMate, C4
Experience with Avolution Abacus or similar tools
Understanding of microservices, API patterns, and cloud (e.g., AWS)
Exposure to global banking or large-scale transformations
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