Senior Data Engineer

🏢 Summary: Senior Big Data Engineer role focused on designing and optimizing large-scale data processing solutions using Spark and Scala within the financial sector. The position involves building resilient data pipelines, supporting production systems, and collaborating in Agile teams to deliver scalable data platforms. Hybrid work model based in Warsaw with up to two remote days per week. 🗂️ Requirements: 3-5 years experience in big data engineering, Strong expertise in Spark, Proficiency in Scala or Java, Knowledge of Python, Experience with DevOps practices, Experience with CI/CD tools, Understanding of microservices architecture, Fluent English, Legal right to work in the European Union 📃 Skills: Spark, Scala, Java, Python, DevOps, CI/CD, Microservices, Airflow, Git, Scrum, BigData 🏢 Description: Empower data-driven innovation — shape the future of financial technology! Warsaw-based opportunity with hybrid work model (up to 2 remote days per week). As a Senior Big Data Engineer (Spark/Scala) , you will be working for our client, a leader in structured finance within the global banking industry. You will contribute to building and optimizing a cutting-edge data platform that supports complex business processes and facilitates collaboration across multiple stakeholders in the finance sector. Join us to drive impactful data solutions that fuel digital transformation and open new avenues for growth. Your main responsibilities: Design and develop solutions for collecting, transforming, and processing large datasets efficiently. Analyze data from multiple sources and translate insights into technical specifications. Implement and industrialize reliable, scalable, and resilient data processing jobs using Spark and Scala. Conduct code reviews and collaborate with team members to ensure continuous improvement. Contribute to agile teams delivering value through Scrum cycles, supporting innovative project delivery. Stay up-to-date with evolving big data technologies and implement best practices. Support applications, troubleshoot production issues, and ensure high quality standards. Produce comprehensive technical documentation, test plans, and project artifacts. You're ideal for this role if you have: 3-5 years of professional experience in big data engineering, ideally within banking or finance. Strong expertise in Spark and Java or Scala, with additional knowledge of Python, DevOps, CI/CD tools, and microservices. Fluency in English (Polish and French are a plus). Analytical mindset with excellent problem-solving skills. Proactive attitude and strong teamwork skills across global teams. Effective communication skills and ability to work across different time zones. It is a strong plus if you have: Knowledge of Airflow, GIT, and modern data architecture strategies. Experience with Agile methodologies and delivering solutions in fast-paced environments. Language Required for the role: Fluent English (required) Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Full-time Data Engineer role focused on building and maintaining scalable, cloud-based data platforms for large-scale analytics. The position involves developing end-to-end data pipelines and collaborating with researchers and data professionals to enable data exploration and insight generation. 🗂️ Requirements: 3+ years experience in Data Engineering or similar role, Strong Python skills, Experience with Spark or Scala, Experience with big data technologies, Ability to design scalable data solutions 📃 Skills: Python, Spark, Scala, Cloud, ETL, BigData, GraphDB 🏢 Description: Role Title: Data Engineer Location: Warsaw, hybrid Contract Type: Umowa o Pracę - full time employment 25000-36000 zl gross/month - negotiable (depending on years of experience) A growing research-focused team is looking for a Data Engineer to build and support data platforms that help professionals extract insights from large, complex datasets. This role involves working closely with researchers, analysts, and data scientists to design scalable data solutions. What you’ll do Build and maintain end-to-end data pipelines (ingestion, transformation, delivery) Develop cloud-based data infrastructure for large-scale analytics Work with teams to enable data exploration and visualization Evaluate and prototype new big data technologies Requirements 3+ years experience in Data Engineering or similar role Strong Python development skills Experience with Spark or Scala Interest or experience in big data technologies Ability to design innovative solutions to data challenges Nice to have • Experience with graph databases

🏢 Summary: Long-term Senior Software Engineer role building a cloud-based financial data platform from scratch. The position focuses on designing and developing scalable, real-time data processing solutions in Azure with strong influence on architecture and engineering standards. You will create backend services and data pipelines in a modern, evolving data environment. 🗂️ Requirements: Strong programming skills in Python or Java or C#, Experience with cloud platforms (Azure preferred), Experience building backend services or data processing components, Experience working with data pipelines and ensuring data consistency, Understanding of software design and clean code principles, Experience with CI/CD pipelines, Experience with version control systems 📃 Skills: Python, Java, C#, Azure, Cloud, CI/CD, Backend, Datapipelines 🏢 Description: As a Senior Software Engineer, you’ll be working on data-driven solutions within the financial data and analytics space. This is a long-term collaboration on a project being built from scratch, giving you real influence over architecture, technology choices, and engineering standards from day one. You’ll be shaping platforms that process large-scale, real-time data used across global financial systems, in a modern and evolving data environment. Key responsibilities Design and develop scalable solutions in cloud environment (Azure) Build and maintain data processing components and services Work with data pipelines and ensure data consistency across systems Develop cloud-based applications and services Collaborate with Engineering, Architecture and Product teams Contribute to clean code, CI/CD, automation and system reliability Take part in code reviews and technical discussions Ideal candidate profile Strong programming skills in Python or Java or C# Experience working with cloud platforms (Azure preferred) Experience in building backend services or data processing components Understanding of software design, clean code and good engineering practices Experience with CI/CD pipelines and version control systems Ability to work independently and as part of a team Good communication skills Nice to have Experience with Spark / PySpark / Databricks Experience with data platforms or data engineering concepts Familiarity with event-driven architectures (Kafka, Event Hubs or similar) Experience with Azure data ecosystem (e.g. Fabric) Experience with containers / Kubernetes (AKS) Conditions Form of cooperation: UoP + KUP 50% Salary range: 18 000 - 30 000 PLN gross/month + yearly bonus depends on the results Hybrid work model: 3 days per week in the Gdynia office Benefits: private medical care, Multisport card, employee pension scheme Recruitment steps Call with a KUBO recruiter (approx. 30 min.) Interview with the client (max. 2 rounds) Decision and feedback

🏢 Summary: Hybrid B2B opportunity for a Senior or Lead Software Engineer focused on Big Data platforms within Risk & Compliance for a global banking environment. The role involves building scalable data processing solutions, ETL pipelines, and analytics platforms using Spark and Java/Scala in an Agile international team. Engineers will collaborate with architects, analysts, and data scientists while contributing to CI/CD, TDD, and large-scale surveillance and risk management systems. 🗂️ Requirements: Commercial experience with Apache Spark, Strong programming skills in Java, Strong programming skills in Scala, Experience building large-scale data processing solutions, Knowledge of software engineering best practices, Experience working in Agile environments, Ability to collaborate in international teams, Strong communication skills, English level B2 or higher 📃 Skills: Spark, Java, Scala, Hadoop, YARN, HDFS, Spring, Airflow, SQL, Elasticsearch, Python, GCP, Maven, Git, CI/CD, TDD, ETL, Agile 🏢 Description: Senior Software Engineer / Lead Software Engineer (Big Data) 📍 Location: Kraków, Poland 🏢 Work mode: hybrid, 2 days per week from the office 💰 Rate: 180-250 PLN/h B2B About the Project: Join a global technology team within the Risk & Compliance domain of a leading international banking organization. The team develops cutting-edge solutions that help protect customers and the business from financial crime, market abuse, identity threats, regulatory risks, and other compliance-related challenges. You will become part of a global Agile team responsible for building modern data platforms and big data solutions that support large-scale surveillance and risk management initiatives. This role offers the opportunity to work on highly impactful systems, collaborating with engineers, architects, analysts, and data scientists from around the world. Your Responsibilities: Collaborate with Product Owners and Business Analysts to understand business and stakeholder requirements Design, develop, and maintain data processing components and storage solutions Onboard new data sources and build scalable ETL/data processing pipelines Work closely with Data Scientists to productionize analytical models and solutions Develop software following CI/CD and Test-Driven Development (TDD) practices Partner with Solution Architects to validate and implement technical designs Perform unit testing and ensure high code quality standards Contribute to the continuous improvement of development processes and engineering practices Requirements: Must Have: Strong commercial experience with Apache Spark Solid programming experience in Java/Scala Experience building large-scale data processing solutions Understanding of software engineering best practices and Agile methodologies Strong communication skills and ability to work effectively in an international team English proficiency at B2 level or higher Nice to Have: Experience with Apache Hadoop (YARN, HDFS) Knowledge of Spring Framework Experience with Apache Airflow Experience working with SQL databases and Elasticsearch Python programming skills Experience deploying services on Google Cloud Platform (GCP) Familiarity with Maven and Git What We Offer: Benefits package: private healthcare ( LuxMed ), sports package ( Multisport ) Opportunity to work on global-scale Big Data solutions Collaboration with international teams and industry experts Modern technology stack and challenging engineering environment Why apply for an Antal job offer? When your application is successful, you will be supported by a dedicated Consultant who will stay in regular contact with you (via email or phone), help you prepare for interviews with your future employer, and ensure a smooth and professional recruitment process. About Antal Antal is a leading recruitment and HR advisory company, present in Poland since 1996 and later expanded to the Czech Republic and Hungary. Across the CEE region, we employ around 150 professionals who deliver a full range of services – from specialist and executive recruitment, employee outsourcing and HR consulting, to employer branding and market research. Our division-based structure combines deep industry expertise with functional specialisation, enabling us to provide tailored solutions for companies in every sector. We act as a trusted partner for both employers and candidates, sharing our knowledge and guiding them through every stage of the talent journey. We connect exceptional people with the right opportunities and help organisations build successful teams. Discover our latest job openings: https://en.antal.pl/candidates Follow us on LinkedIn: https://www.linkedin.com/company/antalpoland

🏢 Summary: 100% remote B2B contract role for an Expert Data Engineer to build and maintain distributed Big Data pipelines supporting decision-making processes in an international banking environment. The position focuses on near real-time processing of large-scale structured and unstructured data using Spark, Scala, and Hadoop ecosystems. It requires strong experience in data engineering, automation, and continuous delivery on Big Data platforms. 🗂️ Requirements: Minimum 5 years of experience with Spark and Scala, Minimum 7 years of experience with Python, Minimum 5 years of experience with Linux, Experience with distributed data processing engines, Experience with Hadoop ecosystem (Hive, Oozie, MapReduce), Strong SQL skills, Experience in building data flows, Expert-level knowledge of Git and BitBucket, Experience with unit testing (JUnit 5, Mockito, Spark testing), Advanced English (min. B2) 📃 Skills: Scala, Python, Spark, Hadoop, Hive, Oozie, MapReduce, SQL, Linux, Git, BitBucket, JUnit, Mockito 🏢 Description: Workplace: 100% remote Notice period: 30 days Form of cooperation: B2B contract with ITFS Rate: 140 - 170 PLN/h + VAT Client: international bank Technology stack: Scala, Python, Spark Language: English (min. B2) The recruitment process: screening call with ITFS (~ 20 minues)  → technical interview with the client → decision As an Expert Data Engineer you will be building data systems to support decision making processes. You will focus on developing and maintaining data pipelines. This position will require advanced technical depth and experience, and communication skills. What you’ll be doing: Building a distributed and highly parallelized Big data processing pipeline which process massive amount of data (both structured and unstructured data) in near real-time Leveraging Spark and Scala to transform corporate data to enable data products to be built Continuous delivery on Hadoop and other Big Data Platforms Automating processes where possible and are repeatable and reliable Must have: Experience in Spark & Scala - minimum 5 years; Experience in Python - minimum 7 years Experience in Linux - minimum 5 years Experience with distributed data processing engines like Spark Experience with Hadoop and (Hive, Oozie, map reduce, etc) Strong/Advanced SQL skills Previous experience in creating data flows BitBucket and GIT expert Unit testing Experience (Junit 5, Mockito, Spark testing) Advanced English skills Must-have knowledge and experience: To succeed in this role, we believe that you: Are collaborative and achieve your expectations through communication and teamwork Are curious, responsive and can understand the needs of others to ensure delivery of the desired results Work qualitatively and strive to always do things better Have a high level of self-motivation Nice to have: Code versioning strategy & Branching strategy Familiar with Agile/Safe framework We offer: Transparent terms of cooperation with a company with a secure and stable market position and opportunities for growth. Access to benefits (co-financing for Enel-med and Multisport healthcare packages, and a basic accounting package – free for up to three invoices per month).

🏢 Summary: Senior Python Data Engineer role focused on building and maintaining scalable data-driven applications and regulatory reporting solutions within an investment banking environment. The position involves developing reliable data pipelines, working with big data technologies, and contributing across the full software development lifecycle in a hybrid work model. 🗂️ Requirements: Bachelor's degree in Computer Science or equivalent IT field, 5+ years of experience in a similar role, Experience with Big Data, Data Warehouse and Data Lake, Hands-on experience building scalable data pipelines, Experience processing high-volume batch and streaming data, Expertise in Databricks, Expertise in Python, Expertise in Spark, Familiarity with Delta Lake, Familiarity with DLT, Familiarity with GitLab, Knowledge of Azure cloud technologies, Knowledge of Unix/Linux, Shell scripting skills, Experience designing high-throughput and low-latency applications, Experience building automated functional testing and CI/CD pipelines, Ability to implement prototypes and iterate using engineering best practices, Hands-on usage of AI in engineering SDLC, English proficiency at B2 level or higher 📃 Skills: Python, Spark, Databricks, Delta, DLT, GitLab, Azure, Unix, Linux, Shell, CI/CD, SQL, PLSQL, PostgreSQL 🏢 Description: We are seeking a hands-on Senior Python Data Engineer to join the Regulatory Reporting team in Poland within the Investment Bank's Digital Operations Stream, working to transform and improve products and platforms relied on by Regulatory and Data Clients. Working from the client's office is required 3 days per week. Responsibilities - Design, implement and maintain new and existing data-driven applications - Develop and deliver solutions end to end - Engineer reliable data pipelines for sourcing, processing, distributing and storing data - Design data models that can support ever-growing volumes - Contribute to all stages of the software development lifecycle - Provide technical expertise, recommendations and innovative solutions - Collaborate with the product owner and other technologists - Share expertise and best practice with colleagues and contribute regularly to the engineering culture Requirements - Hold a Bachelor's degree in Computer Science or equivalent in the IT field with 5+ years of experience in a similar role - Background in Big Data, Data warehouse and Data lake - Showcase of hands-on experience building scalable data pipelines, processing high volume data in batch and stream for near real-time analytics - Expertise in Databricks, Python and Spark - Familiarity with Delta Lake, DLT and GitLab - Knowledge of Cloud technologies such as Azure, Unix/Linux and shell scripting - Expertise designing applications considering NFRs around high throughput and low latency for data processing - Expertise building automated functional testing and CI/CD pipelines using industry standard tools - Capability to quickly implement prototypes and iterate to harden the product with good engineering principles - Hands-on usage of AI in engineering SDLC - English proficiency at B2 level or higher Nice to have - Proficiency in database development including SQL, PL/SQL, PostgreSQL and Azure SQL We offer - Top tech minds driving innovation in AI, cloud and digital platform modernization - Supportive team and agile, startup-like culture - Hybrid by design mode and opportunity to work remotely within Poland - Chance to work abroad for up to 60 days annually - Business-driven relocation opportunities - Career development programs - Thought leadership, mentoring, soft skills and well-being programs - Certification opportunities in Anthropic, Gemini, GCP, Azure and AWS - English classes - Stable pay - Participation in the Employee Stock Purchase Plan with a 15% discount - Benefits package including health insurance, multisport and shopping vouchers - Referral bonuses up to $2,000 - Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more - Corporate, social and well-being events Please note: - Benefits listed above are available to employees only - Terms of B2B cooperation agreements are agreed individually - Only selected candidates will be contacted

🏢 Summary: Senior Backend Developer role focused on designing and implementing core components of a high-performance trading platform in a cloud-native, microservices environment. The position involves building low-latency order management and event-driven distributed systems using Java/Kotlin on AWS. You will work within a Scrum team to deliver secure, scalable backend services for financial infrastructure. 🗂️ Requirements: Bachelor’s degree in Computer Science, IT or equivalent experience, 6+ years of experience in Java or Kotlin, Experience with Docker and Kubernetes, Strong knowledge of AWS cloud platform, Experience with CI/CD pipelines and automation, Knowledge of microservices architecture, Experience working with distributed systems, Competence in messaging systems, Experience with distributed caching, Understanding of monitoring and observability tools, English proficiency minimum B2 📃 Skills: Java, Kotlin, Kubernetes, Docker, Jenkins, GitLab, AWS, Microservices, CI/CD, Messaging, Caching, Scrum 🏢 Description: Employer: Swiss IT Company in Banking Infrastructure Rate: 6000 - 7500 Eur net per month Cooperation model: B2B Start date: ASAP Recruitment process:  3 steps (pre - screening, technical interview, technical task) Technology stack: Java or Kotlin, Kubernetes, Docker, Jenkins, Gitlab, AI Tools, AWS Team: 20-person Scrum team responsible for separate microservices We are currently looking for a Senior Backend Developer based in Poland (preferred locations: Wrocław, Poznań or fully remote). In this role, you will contribute to the design and implementation of strategic backend components within a high-performance financial technology platform. You will work on infrastructure responsible for order management, execution logic, smart routing mechanisms, and event-driven business services in a cloud-native environment. This is an opportunity to join a fast-growing, product-driven fintech organisation operating in a technically demanding domain with strong market demand and long-term growth potential. Your role is: -> Designing and implementing new releases of a core trading platform -> Contributing to architecture decisions around: low-latency order management execution algorithm smart order routing event driven and distributed systems -> Engineering and operating distributed services in cloud environments -> Collaborating closely with Product, Engineering Leadership, and cross-functional teams -> Ensuring solutions follow current industry best practices and architectural standards -> Designing with security, authentication and authorization in mind Your skills and experiences: -> Bachelor’s degree in Computer Science, IT or equivalent practical experience -> Experience with container orchestration (Docker and Kubernetes) -> 6+ years of experience in Java and/or Kotlin -> Solid understanding of monitoring, observability and diagnostics tooling -> Strong knowledge of cloud platform AWS -> Experience with CI/CD pipelines and automation -> Knowledge of microservices architecture and the ability to work within a distributed system environment -> Proven competence in messaging systems and distributed caching -> Strong spoken and written English (min B2) Nice to have: + Experience with reactive programming patterns + Strong clean-code mindset and experience with test automation Our client offers: + Great opportunity for personal development in a stable and friendly large multinational company + Frequent company events + Flexible working hours If interested, please apply safely through this portal (application rules are in accordance with GDPR). Employment agency Nr 17138.

🏢 Summary: The offer is for an experienced Python Data Engineer to build scalable, cloud-based data and analytics solutions for global financial institutions. The role focuses on designing distributed data pipelines, enhancing system reliability, and developing financial and AI-driven data platforms. You will work with modern cloud and AI tools to advance enterprise data architecture and analytics capabilities. 🗂️ Requirements: 4+ years of professional experience in Python data or software engineering, Strong knowledge of data architecture, data modeling, and data warehousing, Advanced SQL skills and complex query writing, Experience building scalable distributed data pipelines, Hands-on experience with cloud environments (AWS preferred), Understanding of event-driven architectures, Experience with debugging and system reliability practices 📃 Skills: Python, SQL, AWS, Databricks, Spark, PySpark, Scala, Delta, Airflow, dbt, Kafka, Kubernetes, MongoDB, Grafana, Loki, Prometheus, OpenTelemetry 🏢 Description: We are partnering with top-tier global financial institutions to scale their core technology and data infrastructure. We are looking for an experienced and product-oriented Python Data Engineer to join our technology group. In this role, you will work at the intersection of cutting-edge technology and institutional finance. You will collaborate closely with data consumers, engineering teams, and business stakeholders to push the firm's technological capabilities forward. What You’ll Do: Core Responsibilities: Design, develop, and deliver high-quality, scalable Python-based solutions. Drive engineering excellence by ensuring system reliability, automating processes, and maintaining high operational standards. Actively experiment with and integrate modern AI coding tools (e.g., Copilot, Cursor) to streamline engineering workflows. Lead design discussions, mentor junior colleagues, and communicate proactively across a geo-distributed team. Depending on the specific project or team, your focus may include: Enterprise Data Platforms: Building cloud-based (AWS) pipelines for data ingestion, streaming, and cataloging. Risk & Portfolio Analytics Systems: Developing software for financial data ingress/egress, performance/exposure monitoring, and automated reconciliation. AI & Metadata Applications: Extending AI-powered semantic data access layers and internal data catalogs. What We’re Looking For Experience: 4+ years of professional experience in software or data engineering, specifically using Python . Data Skills: Solid understanding of data architecture, modeling, and warehousing. Excellent debugging acumen and comfort writing complex SQL statements. Cloud & Architecture: Experience building scalable, distributed pipelines in a cloud environment (preferably AWS ). Familiarity with event-driven architectures. Mindset: Impact-oriented, proactive, self-starting learner who embraces engineering automation, navigates ambiguity well, and holds themselves to high ethical standards. Nice to Have: Big Data & Orchestration: Expertise in Databricks, Spark (PySpark/Scala), Delta Lake, and orchestration tools like Airflow, dbt, or Kafka. Infrastructure & Observability: Working knowledge of Kubernetes, MongoDB, and observability stacks (Grafana, Loki, Prometheus, OpenTelemetry). Offer: Competitive compensation (30k - 45k PLN) with flexible contracting options (B2B/UoP). Premium office location in the heart of Warsaw. Comprehensive private medical and dental care. Sports card and wellness benefits. Private life insurance

🏢 Summary: Opportunity for an experienced Python Data Engineer to build scalable data platforms and analytics systems for global financial institutions. The role focuses on designing cloud-based data pipelines, enhancing system reliability, and integrating modern AI tools into engineering workflows. You will collaborate across distributed teams to deliver high-quality solutions in enterprise data, risk analytics, and AI-driven metadata applications. 🗂️ Requirements: 4+ years of professional experience in software or data engineering using Python, Strong knowledge of data architecture, data modeling, and data warehousing, Ability to write complex SQL queries and perform advanced debugging, Experience building scalable, distributed data pipelines in cloud environments, Experience with AWS, Familiarity with event-driven architectures 📃 Skills: Python, SQL, AWS, Databricks, Spark, PySpark, Scala, Delta, Airflow, dbt, Kafka, Kubernetes, MongoDB, Grafana, Loki, Prometheus, OpenTelemetry 🏢 Description: We are partnering with top-tier global financial institutions to scale their core technology and data infrastructure. We are looking for an experienced and product-oriented Python Data Engineer to join our technology group. In this role, you will work at the intersection of cutting-edge technology and institutional finance. You will collaborate closely with data consumers, engineering teams, and business stakeholders to push the firm's technological capabilities forward. What You’ll Do: Core Responsibilities: Design, develop, and deliver high-quality, scalable Python-based solutions. Drive engineering excellence by ensuring system reliability, automating processes, and maintaining high operational standards. Actively experiment with and integrate modern AI coding tools (e.g., Copilot, Cursor) to streamline engineering workflows. Lead design discussions, mentor junior colleagues, and communicate proactively across a geo-distributed team. Depending on the specific project or team, your focus may include: Enterprise Data Platforms: Building cloud-based (AWS) pipelines for data ingestion, streaming, and cataloging. Risk & Portfolio Analytics Systems: Developing software for financial data ingress/egress, performance/exposure monitoring, and automated reconciliation. AI & Metadata Applications: Extending AI-powered semantic data access layers and internal data catalogs. What We’re Looking For: Experience: 4+ years of professional experience in software or data engineering, specifically using Python . Data Skills: Solid understanding of data architecture, modeling, and warehousing. Excellent debugging acumen and comfort writing complex SQL statements. Cloud & Architecture: Experience building scalable, distributed pipelines in a cloud environment (preferably AWS ). Familiarity with event-driven architectures. Mindset: Impact-oriented, proactive, self-starting learner who embraces engineering automation, navigates ambiguity well, and holds themselves to high ethical standards. Nice to Have: Big Data & Orchestration: Expertise in Databricks, Spark (PySpark/Scala), Delta Lake, and orchestration tools like Airflow, dbt, or Kafka. Infrastructure & Observability: Working knowledge of Kubernetes, MongoDB, and observability stacks (Grafana, Loki, Prometheus, OpenTelemetry). Offer: Competitive compensation (30k - 45k PLN) with flexible contracting options (B2B/UoP). Premium office location in the heart of Warsaw. Comprehensive private medical and dental care. Sports card and wellness benefits. Private life insurance

🏢 Summary: Senior Python Engineer role focused on building and maintaining production-grade data tooling and pipelines for large-scale, time-series and event-based datasets in a high-demand environment. The position involves optimizing data workflows, ensuring data quality and observability, and working with analytical databases. Onsite employment contract in Wrocław with competitive salary and impact on internal data platforms. 🗂️ Requirements: Minimum 7 years of commercial experience with Python as primary language, Strong hands-on experience with Pandas, NumPy, Polars, Dask or similar Python data tools, Experience working with time-series, event-driven or large historical datasets, Strong SQL skills, Hands-on experience with analytical databases or data platforms (e.g. ClickHouse, Snowflake, BigQuery, Redshift, Databricks, Druid), Experience building production data pipelines, internal tools or reusable Python components, Practical approach to data quality, debugging, monitoring and performance optimisation, English proficiency at C1 level 📃 Skills: Python, Pandas, NumPy, Polars, Dask, SQL, ClickHouse, Snowflake, BigQuery, Redshift, Databricks, Druid 🏢 Description: Senior Python Engineer 📍 Wrocław, Poland | Onsite 📄 Employment contract 💰 Up to 50,000 PLN gross/month We are looking for a Senior Python Engineer to join a team building data tooling, libraries and production pipelines used in a high-scale, technically demanding environment. You will work closely with large historical, time-series and event-based datasets, helping improve how data is processed, validated, monitored and made available to technical teams. What you will work on Building and maintaining production-grade Python tools, libraries and data pipelines Working with large-scale historical, time-series and event-based datasets Improving data quality, validation, observability and monitoring Optimising data-processing workflows and pipeline performance Writing SQL queries and working with analytical databases and data platforms Collaborating with engineers and technical users to improve internal data workflows Solving practical problems around data reliability, scale and performance What we are looking for min. 7 years of commercial experience with Python as your primary programming language Strong hands-on experience with Pandas , NumPy , Polars , Dask or similar Python data tooling Experience working with time-series, event-driven or large historical datasets Strong SQL skills Hands-on experience with analytical databases or data platforms such as ClickHouse , Snowflake , BigQuery , Redshift , Databricks , Druid or similar Experience building production data pipelines, internal tools or reusable Python components A practical approach to data quality, debugging, monitoring and performance optimisation Good English communication skills (C1) What is offered Employment contract Salary up to 50,000 PLN gross per month Onsite work in Wrocław A chance to work on technically challenging, data-heavy problems Real influence on tools and workflows used by experienced technical teams International working environment and collaboration with strong engineering profiles If you enjoy Python, large-scale data and building reliable tools that make other teams more effective, we would be happy to speak with you!