(Senior) BI Analyst

🏢 Summary: Senior Data Analyst role focused on designing and delivering advanced Power BI solutions, transforming complex data into actionable insights, and supporting strategic decision-making across global business functions. The position involves advanced analytics, data modeling, automation, and contribution to a large-scale data platform modernization initiative. Hybrid work model based in Poznań. 🗂️ Requirements: 5+ years of experience in Business Analytics or Business Intelligence, Strong hands-on experience with Power BI, Advanced SQL skills, Strong knowledge of DAX and data modeling, Experience with cloud platforms (GCP or Azure), Experience with Databricks, Experience with Git, Ability to perform advanced analytics (segmentation, cohort analysis, marketing analytics) 📃 Skills: PowerBI, SQL, BigQuery, DAX, Python, GCP, Azure, Databricks, Git, QlikView 🏢 Description: Contract of Employment - only Hybrid work from Poznań We are looking for a Senior Data Analyst to join a dynamic global Data Analytics team and collaborate with key stakeholders across CRM, Retail, Brand, e-commerce, Finance, and Supply Chain. The role is based in Poznań, Poland, with a functional reporting line to the company’s global headquarters. In this position, you will transform complex data into actionable insights that support strategic decision-making and drive measurable business impact. You will also play an important role in fostering a data-driven culture and contribute to a strategic initiative focused on modernizing the organization’s data platform to ensure scalability and future readiness. Key Responsibilities Design and develop Power BI solutions, including datasets, star-schema models, DAX measures, and dashboards Deliver high-quality ad-hoc analyses and translate business needs into clear insights and recommendations Collaborate with global stakeholders, align on KPIs and definitions, and present findings to senior leadership Improve data quality, enhance transformation layers, and ensure consistency across reporting Automate recurring analyses and optimize processes for efficiency Perform advanced analytics such as segmentation, cohort analysis, and marketing effectiveness Enable self-service analytics by empowering business teams to leverage data independently Promote a data-driven mindset across the organization Contribute to a global data transformation initiative and the evolution of the analytics ecosystem Experience: 5+ years of experience in Business Analytics or Business Intelligence Strong hands-on experience with Power BI Technical Skills: Advanced SQL (BigQuery is a plus) Strong knowledge of DAX and data modeling Python for advanced analytics (preferred) Experience with cloud platforms (GCP or Azure), Databricks, and Git Familiarity with QlikView is a plus Analytical Expertise: Power BI development and dashboard design Data modeling (star schema, semantic layer optimization) Advanced analytics (segmentation, cohort analysis, marketing analytics) Process automation and optimization Soft Skills: Excellent data storytelling and communication skills Strong stakeholder management in a global environment Ability to prioritize and align business needs and KPIs Passion for promoting data-driven decision-making Experience supporting organizational change and adoption of new tools Strong presentation skills with the ability to influence decision-makers What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.

🏢 Summary: Senior Customer Success Manager role focused on guiding enterprise clients through adoption of a cloud-native analytics and AI platform. The position combines technical advisory, strategic account leadership, and post-sales enablement to ensure measurable business value and platform integration. It requires close collaboration with Product and Engineering while driving renewals and account growth. 🗂️ Requirements: Residence in Poland, Work from Warsaw office at least 3 days per week, Degree in ComputerScience, Engineering, DataScience or related field, 7+ years in CustomerSuccess or technical customer-facing roles in SaaS or enterprise software, Hands-on experience with cloud-native technologies, Experience with major cloud providers, Knowledge of data modeling and ETL/ELT processes, Understanding of ML lifecycle and MLOps, Experience managing complex enterprise accounts, Knowledge of Agile and DevOps practices, Experience with CRM or CustomerSuccess tools, Fluency in English or German 📃 Skills: CloudNative, Microservices, Kubernetes, Docker, AWS, Azure, GCP, DataModeling, ETL, ELT, SemanticLayer, MLOps, AI, BI, SaaS, Salesforce, Gainsight, Agile, DevOps, Telemetry, CRM 🏢 Description: This position requires living in Poland and working from the Warsaw office at least three times per week. Contract of Employment (UoP) Your new company Our Client is a global leader in enterprise analytics and AI, helping organizations turn data into intelligent action. Their cloud‑native platform and semantic layer power modern analytics, while our forward‑thinking approach to digital assets strengthens our financial strategy. Innovation, agility, and impact define our culture. Your new role As a Senior Customer Success Manager, you will guide enterprise clients through the full post‑sales journey. You’ll ensure they successfully adopt our cloud‑native architecture, semantic layer, and AI‑driven analytics and that these solutions deliver measurable business value. You’ll lead strategic discussions, support technical integrations, collaborate with Product and Engineering, and help drive account growth. 1. Technical Strategy & Customer Outcomes Serve as the primary technical advisor, guiding customers through cloud‑native architectures, semantic layer implementations, and AI analytics workflows. Lead strategic whiteboard sessions with executive stakeholders to align platform capabilities with business priorities. Analyze customer processes to identify high‑impact use cases and ensure technical initiatives translate into tangible ROI. Build and execute customer success roadmaps with clear KPIs, adoption milestones, and alignment to enterprise architecture and security standards. Conduct Quarterly Business Reviews to present progress, value delivered, and future plans. 2. Enablement & Adoption Oversee technical configuration and integration to accelerate time‑to‑value. Deliver advanced demos, developer office hours, and workshops for engineering, BI, and data science teams. Monitor account health using telemetry to proactively address performance issues, integration challenges, and adoption gaps. Use engagement data to identify risks and opportunities for deeper value realization. 3. Product Collaboration & Advocacy Gather and synthesize customer feedback to influence product direction and feature development. Partner with Engineering to guide strategic customers through Alpha/Beta programs for new platform and AI capabilities. Act as the escalation point for complex technical issues, coordinating between customer teams and internal developers. Advise on platform enhancements, integrations, and upgrades aligned with customer data strategies. 4. Commercial Partnership & Relationship Growth Support renewals and expansions by ensuring continuous delivery of business and technical value. Collaborate with Sales and Account Management to identify upsell and cross‑sell opportunities. Identify renewal risks early and contribute to mitigation plans. Build strong, reference‑ready customer relationships for case studies, testimonials, and industry events. What you'll need to succeed Technical Requirements Degree in Business, Computer Science, Engineering, Data Science, or a related field (or equivalent experience). Hands‑on experience with cloud‑native technologies (microservices, Kubernetes, Docker) and major cloud providers (AWS, Azure, GCP). Strong understanding of data modeling, ETL/ELT, semantic layers, and the ML lifecycle (MLOps, deployment). Familiarity with BI tools, enterprise analytics, or AI‑driven data platforms is an advantage. Experience & Skills 7+ years in Customer Success or similar technical customer‑facing roles within SaaS or enterprise software. Experience managing complex enterprise accounts with multiple stakeholders. Ability to interpret usage data and telemetry to drive insights and recommendations. Strong communication skills, especially in explaining complex technical concepts to non‑technical leaders. Solid project management and cross‑functional collaboration experience. Knowledge of Agile and DevOps practices. Experience with CRM and Customer Success tools (e.g., Salesforce, Gainsight). Fluency in English or German. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.

🏢 Summary: Hybrid Data Analyst role focused on transforming and standardizing clinical study data into analysis-ready datasets, enabling cross-study consistency and reusability. The position involves data wrangling, anomaly detection, FAIR data improvements, and building reproducible workflows using Python, SQL, and AWS tools. The role requires close collaboration with stakeholders to translate ambiguous business questions into structured analytical outputs within a GDPR-compliant environment. 🗂️ Requirements: Proficiency in Python for data analysis and transformation, Proficiency in SQL for querying and validation, Experience with AWS environments including S3, Experience standardizing and harmonizing heterogeneous datasets, Ability to detect patterns, anomalies, and structural differences across datasets, Experience building reproducible data workflows, Experience with data visualization tools, Knowledge of GDPR-compliant data handling, Fluent English (spoken and written) 📃 Skills: Python, SQL, AWS, S3, PowerBI, GDPR, CDISC, SDTM, ADaM, SAS, MachineLearning, AI, LLM 🏢 Description: Data Analyst within Study Patient Operations About the project We are looking for a Data Analyst in collaboration with a global, science‑driven biopharmaceutical company that uses data and advanced analytics to accelerate the development of innovative therapies. As a Data Analyst in Study Patient Operations, you will transform diverse clinical study data into reliable, analysis‑ready datasets and support cross‑study standardisation and reusability. This role is ideal for someone who thrives in ambiguity, shows strong analytical curiosity, and proactively proposes structured solutions even with incomplete information. Work mode: hybrid — based in Warsaw, with one day per week on-site at the client’s office . Tasks Cross‑study data standardisation: Standardise and harmonise data from multiple studies with varying conventions to enable consistent cross‑study analysis. Pattern and anomaly detection: Identify patterns, discrepancies, anomalies, and structural differences across datasets and convert them into actionable mapping rules and validation checks. FAIR data improvement: Strengthen metadata, lineage, definitions, and data quality to enhance data accessibility and reusability, even when documentation is incomplete. Problem framing & stakeholder collaboration: Translate broad or ambiguous business questions into clear data requirements, analytical approaches, and defined pipeline outputs. Data wrangling & transformation: Extract, join, transform, and reconcile datasets using Python, SQL, and AWS‑based tools to support downstream analysis. Compliance, documentation & insight communication: Ensure GDPR‑aligned data handling, maintain audit‑ready documentation, and clearly communicate insights, limitations, and assumptions. Expectations Strong analytical problem‑solving skills in ambiguous contexts and ability to iterate toward clarity. Learning agility , with motivation to quickly understand new domains and clinical data standards. Standardisation mindset , with experience proposing consistent mappings across heterogeneous datasets. Pattern recognition ability across multiple datasets/studies. Proficiency in Python and SQL for analysis, validation, and reproducible workflows. Experience with AWS environments , especially S3 and analytical/querying tools. Data visualisation skills (Power BI or similar). Excellent communication and documentation abilities , especially explaining “what the data means.” Fluent in English (spoken and written) Beneficial Skills Familiarity with clinical trial standards (e.g., CDISC SDTM, ADaM ). Experience with SAS-formatted clinical datasets . Understanding of clinical study processes , privacy/consent principles, and patient data handling. Exposure to machine learning / AI / agentic tools . Interest or experience in LLM-based tooling , especially for metadata, documentation, or analytics workflows. We offer Ongoing support from a dedicated agent , taking care of your project continuity, client contact, necessary formalities, work comfort and development, Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors, Access to 7N Learning & Development – a development and educational platform with webinars, a library of articles and industry reports, and regular invitations to one-time and recurring development events – technical, business, and lifestyle, Spectacular integration events , both for you (e.g., annual Kick-Off trip , Christmas parties, or Summer Olympics sports events) and for your loved ones (e.g., family picnics, movie premieres), Professional development not only during the project – you can get involved in knowledge transfer to others within the 7N Services offering directed at 7N clients, Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years, A complete benefits package , including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad. About 7N Constantly searching for projects, difficult rate negotiations, lack of development support – sounds familiar? At 7N, you gain not only stability of contracts but also the personal involvement of a dedicated agent who ensures your professional comfort and continuous access to development initiatives. Our mission is to provide stable and rewarding collaborations that drive your success as an IT expert and the success of our clients. We build long-lasting relationships based on Scandinavian values and 30 years of experience creating IT solutions for over 200 organizations.

🏢 Summary: Senior Data Engineer role in the banking sector focused on building scalable Big Data solutions supporting Financial Crime Prevention processes. The position involves developing distributed data pipelines and streaming applications using Spark and Scala in a Continuous Delivery environment. It is a long-term hybrid project with an immediate start. 🗂️ Requirements: Senior-level experience in Big Data and ETL, Senior-level Scala proficiency, Senior-level Spark and Spark SQL expertise, Strong SQL knowledge, Experience with Data Testing, Practical experience with distributed large-scale data systems 📃 Skills: Scala, Spark, SparkSQL, SQL, ETL, BigData, DataTesting 🏢 Description: 📍 Location: Gdańsk / Gdynia / Warsaw (hybrid) 🚀 Start: ASAP 💶 Rate: 35–45 EUR/h About the role We are looking for a Senior Data Engineer to work on a long-term project for a leading client in the banking industry . In this role, you will implement complex data requirements and build scalable solutions that support the client’s Financial Crime Prevention processes . Responsibilities Build distributed Big Data processing pipelines handling large volumes of structured and unstructured data in near real-time Develop streaming applications connecting multiple internal and external data sources Transform and enrich data with Apache Spark for analytics, visualization, and search Deliver clean, high-quality datasets for downstream systems Work closely with DevOps, QA, and Product teams in a Continuous Delivery environment Requirements Experience with Big Data / ETL / SQL / Data Testing (Senior level) Senior-level Scala Senior-level Spark and Spark SQL Practical experience with distributed, large-scale data systems Recruitment process First interview: Conversation with our Talent Team Technical interview: Discussion with one of our developers Final interview: Meeting with the CTO

🏢 Summary: Senior Data Scientist role focused on building and operating real-time, AI-driven decisioning systems that directly impact user experience and conversion rates. The position involves developing and deploying production-grade machine learning models with strict low-latency requirements and contributing to personalization, experimentation, and recommendation systems. It combines hands-on ML engineering with experimentation, causal analysis, and large-scale data processing in a business-facing environment. 🗂️ Requirements: 7+ years commercial experience in Data Science with production ML focus, Strong experience deploying and maintaining production ML models, Experience with real-time systems and low-latency constraints, Proficiency in Python and SQL, Hands-on experience with gradient boosting methods, Experience with recommendation systems and uplift modeling, Strong knowledge of A/B testing and causal inference, Experience building feature engineering pipelines at scale, Experience with Apache Spark or PySpark, Cloud platform experience (AWS preferred), Familiarity with LLMs and GenAI for personalization 📃 Skills: Python, SQL, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PySpark, Spark, AWS, Databricks, NLP, LLM, GenAI 🏢 Description: We are looking for a Senior Data Scientist to join a Growth Alliance team focused on AI-driven decisioning and user-facing machine learning systems. This role is suited for a technically strong data scientist who is equally comfortable working with business stakeholders and operating production ML systems at scale. About the Project: This is a high-impact role working directly on systems that influence end-user experience and conversion. You will operate in a real-time environment with strict low-latency requirements (<40 ms), contributing to a shift toward AI-driven decisioning aimed at improving product performance and increasing conversion rates. The work spans production ML pipelines, experimentation, and personalization, not just research or experimentation in isolation. Responsibilities: Design, develop, and deploy production machine learning models with real-time constraints; Build and maintain recommendation systems, uplift models, and contextual bandit frameworks; Conduct A/B testing, causal inference analyses, and statistical hypothesis testing; Develop and maintain feature engineering pipelines at scale using PySpark / Apache Spark; Monitor and validate deployed models to ensure performance and reliability; Collaborate closely with business stakeholders to challenge assumptions and define the right problems; Contribute to generative AI and LLM-based personalization initiatives; Work with decisioning platforms, personalization engines, and Martech integrations. Qualifications: 7+ years of commercial experience in Data Science with a strong production ML focus; Proficiency in Python (NumPy, Pandas, Scikit-learn) and SQL; Hands-on experience with gradient boosting methods (XGBoost, LightGBM); Experience with recommendation systems, clustering, NLP, and uplift modeling; Solid background in A/B testing frameworks, causal inference, and statistical modeling; Experience with feature engineering and production ML pipelines at scale; Cloud platform experience, preferably AWS; Familiarity with LLMs, prompt engineering, and GenAI for content personalization; Strong communication skills and ability to work in a highly business-facing environment; Databricks experience is a nice to have. Recruitment Process: Initial interview with our recruitment team; Interview with the hiring manager; Live Coding Assessment; Meeting with the Project Manager. Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.

🏢 Summary: The offer is for a remote Data Analyst role within Study Patient Operations, focused on transforming diverse clinical study data into standardized, analysis-ready datasets. The position involves cross-study data harmonization, pattern and anomaly detection, data quality improvement, and building reproducible data pipelines in a regulated environment. The role requires close collaboration with stakeholders to translate ambiguous business questions into structured analytical solutions using modern data tools. 🗂️ Requirements: Proficiency in Python and SQL for data analysis and reproducible workflows, Experience with AWS environments, especially S3 and analytical/query tools, Experience in data standardization and harmonization across heterogeneous datasets, Ability to perform data wrangling, transformation, and validation, Experience in pattern and anomaly detection across multiple datasets, Knowledge of GDPR-compliant data handling and documentation practices, Ability to translate ambiguous business requirements into structured data solutions, Data visualization skills using BI tools, Fluent English (spoken and written) 📃 Skills: Python, SQL, AWS, S3, PowerBI, GDPR, CDISC, SDTM, ADaM, SAS 🏢 Description: Data Analyst within Study Patient Operations About the project We are looking for a Data Analyst in collaboration with a global, science‑driven biopharmaceutical company that uses data and advanced analytics to accelerate the development of innovative therapies. As a Data Analyst in Study Patient Operations, you will transform diverse clinical study data into reliable, analysis‑ready datasets and support cross‑study standardisation and reusability. This role is ideal for someone who thrives in ambiguity, shows strong analytical curiosity, and proactively proposes structured solutions even with incomplete information. Work mode: 100% remote (with one day per month on-site at the client’s office in Warsaw) Tasks Cross‑study data standardisation: Standardise and harmonise data from multiple studies with varying conventions to enable consistent cross‑study analysis. Pattern and anomaly detection: Identify patterns, discrepancies, anomalies, and structural differences across datasets and convert them into actionable mapping rules and validation checks. FAIR data improvement: Strengthen metadata, lineage, definitions, and data quality to enhance data accessibility and reusability, even when documentation is incomplete. Problem framing & stakeholder collaboration: Translate broad or ambiguous business questions into clear data requirements, analytical approaches, and defined pipeline outputs. Data wrangling & transformation: Extract, join, transform, and reconcile datasets using Python, SQL, and AWS‑based tools to support downstream analysis. Compliance, documentation & insight communication: Ensure GDPR‑aligned data handling, maintain audit‑ready documentation, and clearly communicate insights, limitations, and assumptions. Expectations Strong analytical problem‑solving skills in ambiguous contexts and ability to iterate toward clarity. Learning agility , with motivation to quickly understand new domains and clinical data standards. Standardisation mindset , with experience proposing consistent mappings across heterogeneous datasets. Pattern recognition ability across multiple datasets/studies. Proficiency in Python and SQL for analysis, validation, and reproducible workflows. Experience with AWS environments , especially S3 and analytical/querying tools. Data visualisation skills (Power BI or similar). Excellent communication and documentation abilities , especially explaining “what the data means.” Fluent in English (spoken and written) Beneficial Skills Familiarity with clinical trial standards (e.g., CDISC SDTM, ADaM ). Experience with SAS-formatted clinical datasets . Understanding of clinical study processes , privacy/consent principles, and patient data handling. Exposure to machine learning / AI / agentic tools . Interest or experience in LLM-based tooling , especially for metadata, documentation, or analytics workflows. We offer Ongoing support from a dedicated agent , taking care of your project continuity, client contact, necessary formalities, work comfort and development, Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors, Access to 7N Learning & Development – a development and educational platform with webinars, a library of articles and industry reports, and regular invitations to one-time and recurring development events – technical, business, and lifestyle, Spectacular integration events , both for you (e.g., annual Kick-Off trip , Christmas parties, or Summer Olympics sports events) and for your loved ones (e.g., family picnics, movie premieres), Professional development not only during the project – you can get involved in knowledge transfer to others within the 7N Services offering directed at 7N clients, Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years, A complete benefits package , including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad. About 7N Constantly searching for projects, difficult rate negotiations, lack of development support – sounds familiar? At 7N, you gain not only stability of contracts but also the personal involvement of a dedicated agent who ensures your professional comfort and continuous access to development initiatives. Our mission is to provide stable and rewarding collaborations that drive your success as an IT expert and the success of our clients. We build long-lasting relationships based on Scandinavian values and 30 years of experience creating IT solutions for over 200 organizations.

🏢 Summary: Senior Data Analyst role focused on transforming operational data into actionable insights to support satellite design, manufacturing, and mission operations. The position involves building automated reports, dashboards, and data pipelines across enterprise systems while partnering with engineering, production, and finance teams. This role combines advanced analytics, data engineering, and business intelligence to drive scalable decision-making in a fast-paced aerospace environment. 🗂️ Requirements: Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM field, 6+ years of experience in a data analyst or analytics role, Proficiency in SQL, Proficiency in Python, Experience with Snowflake, Experience with a modern BI platform (PowerBI or Tableau), Experience with relational databases, Ability to build complex data visualizations, Ability to translate business questions into structured analyses, Ability to troubleshoot data issues and modify workflows, Must qualify as a U.S. Person under ITAR or be eligible for export control license 📃 Skills: SQL, Python, Snowflake, PowerBI, Tableau, ETL, BI, AI, ML, RelationalDatabases 🏢 Description: K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by significant private investment and commercial and U.S. government contracts, the company is mass-producing high-power satellite platforms for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from mass constraint to mass abundance, demanding a fundamentally different class of spacecraft. Engineered to survive harsh radiation environments and capitalize on next-generation rockets, these satellites deliver high capability at constellation scale and across multiple orbits. With multiple launches planned through 2026 and 2027, the team is focused on building advanced spacecraft platforms to expand humanity’s presence in space. Description As a Senior Data Analyst on the Enterprise Systems team, you will turn operational data into insights that drive smarter decisions across satellite design, manufacturing, and mission operations. You will partner with engineering, production, and finance to evaluate performance, identify gaps, and recommend improvements, while building scalable reports, dashboards, and automation solutions. Responsibilities - Develop automated reports, dashboards, and analyses that surface KPIs, performance drivers, and trends in direct support of strategic and operational decisions. - Build and manage data pipelines integrating structured and unstructured data sources across enterprise systems. - Design and implement automated workflows using SQL, Python, Snowflake, and related tools to standardize data, minimize manual error, and uphold data integrity and governance best practices. - Develop and maintain data retrieval processes and application integrations across multiple systems and data sources. - Partner with stakeholders across Manufacturing, Finance, Propulsion, Materials, and other disciplines to analyze drivers impacting production outputs and operational scaling. - Develop, maintain, and distribute recurring reports for Manufacturing, Finance, and Production teams accurately and on schedule. - Support regulatory, financial, and accounting reporting by compiling and validating underlying data. - Evaluate existing data QC and reporting distribution processes, identify inefficiencies, and deliver improvements. - Own and maintain documentation for data tools, analyses, and workflows. - Stay current on advancements in data analytics, automation, AI/ML, and BI tooling. Qualifications - Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM discipline. - 6+ years of experience in a data analyst or analytics role. - Proficiency in SQL and Python. - Experience with Snowflake and a modern BI platform (PowerBI or Tableau). - Experience working with relational databases and building complex data visualizations. - Ability to translate ambiguous business questions into structured analyses and recommendations. - Comfortable modifying workflows and troubleshooting data issues. Nice to Have - Experience with ETL processes and workflow automation. - Background in manufacturing, finance, or operational data domains. - Strong knowledge of financial reporting processes. - Familiarity with physical manufacturing workflows. - Experience mentoring or informally leading analysts. Compensation and Benefits - Base salary range: $140,000 - $180,000 + equity. - Salary determined by knowledge, skills, education, and experience. - Comprehensive benefits package including paid time off, medical, dental, vision coverage, life insurance, paid parental leave, and additional perks. Export Compliance This role requires access to information and items controlled by U.S. export control regulations, including ITAR. The person hired must qualify as a "U.S. Person" under 22 C.F.R. § 120.15 or otherwise be eligible for a federally issued export control license. Equal Opportunity Employment is based on merit, competence, and qualifications and is not influenced by legally protected characteristics.

🏢 Summary: Senior Business Analyst role within Front Office Risk Technology focused on delivering change initiatives across Product Control and Finance Technology. The position drives enhancements in financial reporting, PnL attribution, valuation, and risk processes while coordinating end-to-end project delivery in an Agile environment. It requires strong domain knowledge of Product Control and hands-on data analysis expertise. 🗂️ Requirements: 5+ years Business Analyst experience in banking or financial services, Strong knowledge of Product Control processes, Understanding of PnL attribution and valuation adjustments, Experience with financial reporting and reconciliation, Familiarity with Front Office trade lifecycle, Proficiency in SQL for data analysis, Advanced Excel skills, Experience working in Agile environments 📃 Skills: SQL, Excel, Agile, ProductControl, PnL, Valuation, FinancialReporting, Reconciliation, Risk, TradeLifecycle 🏢 Description: Senior Business Analyst – Product Control & Finance Technology Location: Warsaw, Poland (Hybrid) Role Overview: We are seeking a highly skilled Business Analyst to join a Front Office Risk Technology team, focusing on initiatives that bridge Product Control, Finance Technology, and Front Office systems. This role involves delivering change projects that enhance financial reporting, PnL attribution, and risk/valuation processes across global markets. The ideal candidate will combine strong business analysis skills with technical knowledge and a deep understanding of financial products and control frameworks. Key Responsibilities: Gather and document requirements for Product Control and Finance Technology enhancements, ensuring alignment with front-office risk systems. Drive end-to-end delivery of projects, including UAT coordination, stakeholder engagement, and release planning. Collaborate with Product Control, Finance, Risk, and Technology teams to improve PnL reporting, valuation adjustments, and reconciliation processes. Support regulatory-driven initiatives impacting financial reporting and risk management. Analyse and optimise data flows between Front Office platforms and Finance systems. Ensure robust documentation and governance for all changes. Must-Have Skills: 5+ years of experience as a Business Analyst in banking or financial services. Strong understanding of Product Control processes, including PnL attribution, valuation adjustments, and financial reporting. Familiarity with Front Office trade lifecycle and risk/valuation concepts. Technical proficiency in SQL and advanced Excel for data analysis and reconciliation. Experience working in Agile delivery environments. Nice-to-Have Skills: Exposure to Finance Technology platforms (e.g., SAP, Oracle, or similar). Knowledge of risk and valuation systems (e.g., Murex, FIS). Understanding of regulatory frameworks (FRTB, IFRS, Basel). Programming skills in Python or VBA for automation. Professional certifications (FRM, CFA, or accounting qualifications like ACA/CPA).

🏢 Summary: Senior Software Engineer role focused on AI-driven business process enhancement, intelligent data handling, and automated decision-making using scalable cloud-native technologies. The position involves developing distributed systems with Python, JavaScript, cloud platforms, CI/CD pipelines, and containerized infrastructure in a long-term hybrid project based in Warsaw. 🗂️ Requirements: 5+ years of software development experience, Strong Python experience, Experience with vanilla JavaScript, Experience with PostgreSQL, Experience with Redis, Experience with Azure, AWS, or GCP, Experience with CI/CD pipelines, Experience with GitHub Actions, Understanding of event-driven systems, Understanding of distributed architectures, Experience with Docker or Podman, Experience with Kubernetes, English level B2 or higher 📃 Skills: Python, JavaScript, PostgreSQL, Redis, Azure, AWS, GCP, GitHub, Docker, Podman, Kubernetes, CI/CD, Neo4j, Milvus, spaCy, Transformers, Rust, Go, Java, C#, React, Vue, Electron, Tauri 🏢 Description: Company Description Our mission as a company providing IT services is to provide our clients all over the world with the best solutions. We manage to do this by analyzing the needs of our clients and matching them to the skills and aspirations of our employees. Therefore, one of our main motivations is to provide each Employee and Consultant with a satisfying experience. Joining us means being part of a community with diverse personalities. Start your adventure with act digital Polska ! Job Description We are looking for Senior Software Engineer . The project focuses on enhancing business processes through the use of artificial intelligence and advanced technologies. It enables intelligent data handling and supports automated decision-making. Built with modern, high-performance solutions, it ensures efficiency, security, and scalability. Requirements 5+ years of experience in software development. 5+ years experience with Python. Experience with relational databases (PostgreSQL). Experience with CI/CD pipelines and tools like GitHub Actions. Strong understanding of event-driven systems and distributed architectures. Experience with containerization tools (Docker) and orchestration platform (Kubernetes). Experience in building web applications using modern frameworks (React 1+ years) English min B2. Nice to have Experience in cloud platform (Azure / AWS / GCP). Experience with graph databases (Neo4j) and vector databases (Milvus). Experience with NLP libraries and frameworks (spaCy / Transformers). Proficiency in compiled languages (Rust, Go, Java, C#). Experience with machine learning concepts and the ability to work with NLP datasets. Additional Information Work model: Hybrid from Warsaw Type of contract: B2B Rate: up to 220 PLN net per hour Project: Long-term (2+ years) Start: ASAP-1 month We offer Access to local and international projects - Clients from France, Germany, Portugal, UK, and Benelux. Professional development support - trainings, technical certificates, conference participation, foreign language classes, and soft skills trainings are subsidized for up to 2 000 PLN. Bonus for recommending Candidates starting from 6 000 up to 10000 PLN. Fully paid Medicover healthcare card. Psychological support program WellBee. Multisport card. Regular integration events and gifts. Long-term cooperation. Relocation Program. If You applied for this position the Controller of your personal will be ACT DIGITAL POLSKA Sp. z o.o., with its registered office at Przyokopowa 31, 01-208 Warsaw . The personal data provided by you will be processed for the purpose of the recruitment process and for future recruitment processes. You have the right to access the content of your data, request their rectification, erasure, restriction of processing, the right to data portability, the right to object to the processing of your data and the right to lodge a complaint to the President of the Personal Data Protection Office.

🏢 Summary: Senior Data Engineer role focused on building and optimizing data integration and retrieval solutions that power Generative AI systems, including AI agents and RAG pipelines. The position involves designing scalable data pipelines and Python-based microservices integrated with large-scale GenAI platforms. The engineer will contribute to architecture and ensure high performance, reliability, and security of data services. 🗂️ Requirements: 5+ years of experience in software or data engineering with strong focus on Python, Hands-on experience with FastAPI and microservices, Experience with API-driven architectures, Experience with databases or data platforms (MongoDB, PostgreSQL, Hadoop, BigQuery, Starburst or similar), Understanding of vector stores, embeddings or semantic search concepts, Experience with cloud platforms (GCP or Azure), Solid understanding of Unix/Linux environments, Strong debugging skills 📃 Skills: Python, FastAPI, Microservices, APIs, MongoDB, PostgreSQL, Hadoop, BigQuery, Starburst, GCP, Azure, Linux, Unix, Vectorstores, Embeddings, SemanticSearch, Debugging 🏢 Description: Senior Data Engineer (Python / GenAI) 📍 Location: Kraków, Poland (hybrid: 2 days in the office, 3 days remote) 📄 B2B Contract: 210 – 260 PLN / hour We are looking for a proactive Senior Data Engineer (Python / GenAI) to join an international team building advanced data integration and retrieval solutions powering Generative AI across the organization. You will work closely with Engineers, Architects and AI Specialists to design, build and optimize data flows that directly support AI agents, RAG pipelines and large‑scale GenAI applications. This role sits within a collaborative engineering environment and offers the opportunity to influence architecture, development standards and the overall quality of next‑generation AI‑driven systems. Key Responsibilities: Design and develop data integration components enabling GenAI models to access and process data from multiple internal systems. Build and maintain data transfer pipelines ensuring scalability, reliability and security. Develop Python‑based microservices (FastAPI) integrated with broader GenAI platforms. Work with vector stores, memory stores and RAG pipelines to optimize data retrieval and context generation for AI agents. Collaborate with cross‑functional teams to align data integrations with overall GenAI architecture. Implement monitoring, observability and performance tuning for data services. Participate in Agile ceremonies: sprint planning, reviews, retrospectives and daily stand‑ups. Requirements: 5+ years of experience in software or data engineering with strong focus on Python . Hands‑on experience with FastAPI , microservices and API‑driven architectures. Experience with databases and data platforms such as MongoDB, PostgreSQL, Hadoop, BigQuery, Starburst or similar. Understanding of vector stores , embeddings or semantic search concepts. Experience working with cloud platforms (GCP or Azure). Solid understanding of Unix/Linux environments. Strong debugging skills and ability to clearly communicate findings. Nice to Have: Experience with RAG pipelines , context engineering or evaluation systems. Knowledge of Google ADK or similar AI development toolkits. Experience with memory stores or caching systems. Exposure to GenAI platforms, LLM‑based solutions or AI agents. Familiarity with DevOps practices and CI/CD pipelines. What We Offer: Long‑term cooperation within a high‑impact, innovative AI programme. Real influence on architecture, engineering standards and data integration strategy. Work in a multicultural, distributed environment. Private medical care (LuxMed) and Multisport card. Stable B2B contract with competitive hourly rate. To learn more about Antal, please visit www.antal.pl