Senior Python Data Engineer

🏢 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 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 Python Engineer role focused on building and scaling a cloud-native real-time Data Platform handling massive datasets. The position involves developing high-performance backend services, optimizing distributed systems, and integrating large-scale data storage solutions. Hybrid work model in Warsaw with employment benefits including private medical care and multisport card. 🗂️ Requirements: 8+ years of backend software development experience, Advanced Python expertise, Experience with scalable production-grade systems, Knowledge of concurrency and multiprocessing, Experience with Pandas or NumPy, Experience with Parquet or JSON data formats, Knowledge of relational and NoSQL databases, Experience with performance optimization and low-latency systems, Ability to use AI-assisted development tools responsibly 📃 Skills: Python, Pandas, NumPy, Parquet, JSON, SQL, NoSQL, API, OOP, Concurrency, Multiprocessing, Algorithms, Databases, Cloud 🏢 Description: For our client, a leading, high-growth global fintech company – we are looking for an experienced Senior Python Engineer to join a key engineering team responsible for the company’s core data foundation. The project focuses on building, optimizing, and scaling a cloud-native, high-throughput Data Platform designed to ingest, process, and distribute massive datasets in real-time. This platform serves as the backbone for various downstream analytical systems, requiring extreme reliability, performance, and scalability. This is a fantastic opportunity for a strong Python generalist who enjoys solving complex distributed system problems, optimizing data flows, and working with modern cloud architectures. Responsibilities Backend & Pipeline Development: Design and develop scalable backend services and high-performance data processing pipelines using Python. Performance Tuning: Identify bottlenecks and optimize system performance, focus on concurrency, throughput, and low-latency execution. Data Integration & Storage: Build robust integrations with modern cloud-native storage solutions and databases to manage large-scale datasets efficiently. Collaborative Engineering: Work closely with cross-functional technical teams to understand data requirements and deliver reliable API services and platform features. Engineering Excellence: Maintain top-tier coding standards, emphasizing clean code, robust testing (unit/integration), automation, and security. Requirements 8+ years of professional backend software development experience (with a strong track record in building scalable, production-grade systems). Deep expertise in Python (advanced OOP, concurrency/multiprocessing, memory management, data structures, and algorithms). Solid experience with data-centric libraries such as Pandas, NumPy, or similar data processing frameworks. Experience with large-scale data storage formats (e.g., Parquet, JSON, or column-oriented databases) and relational/NoSQL databases. AI-assisted development mindset: Comfortable utilizing AI tools  to accelerate delivery, while maintaining strong developer judgment regarding validation, testing, security, and refactoring. What our client offers: Hybrid work model in Warsaw (minimum 3 days a week in the office - strictly non-negotiable). Contract of Employment (UoP) with increased tax-deductible costs (KUP). Private medical care (including full dental care). Lunch card to cover your daily meals. Multisport card.

🏢 Summary: Python Software Engineer role focused on building and operating production-grade Python applications, APIs, and data pipelines in a governed data platform environment. The position involves transforming data science prototypes into deployable services, optimizing PySpark workloads, and collaborating with platform teams on Databricks and CI/CD practices. The offer includes flexible remote work, career development programs, certifications, and comprehensive benefits. 🗂️ Requirements: 3+ years of Python engineering experience, Experience with Python packaging, Knowledge of typing and clean architecture, Proficiency in error handling and performance-oriented development, Experience with Git workflows, Experience with automated testing, Experience with CI/CD, Expertise in Pandas, Expertise in NumPy, Experience with Parquet data formats, Experience building APIs or services, Experience with FastAPI, Flask or similar frameworks, Experience working in Databricks or containerized environments 📃 Skills: Python, Pandas, NumPy, Parquet, FastAPI, Flask, Databricks, Spark, PySpark, Git, CI/CD, APIs, SDLC, scikit-learn 🏢 Description: We are seeking a Python Software Engineer to join our Production Data & Model Services team. In this role, you will build and operate production-grade Python applications, transform data science prototypes into deployable services and collaborate with platform teams to deliver robust data pipelines and APIs. Responsibilities Build and run production-grade Python applications (APIs and batch jobs) with strong SDLC practices including code reviews, testing, CI/CD, observability and documentation Develop robust data pipelines (batch and near-real-time) reading and writing governed storage with Parquet/columnar formats and approved patterns Transform quant and data science prototypes into deployable packages/services (typed, modular, versioned) Expose scoring and analytics via APIs or scheduled jobs rather than notebook-only deliverables Collaborate with platform teams on Databricks/Spark connectivity Optimize PySpark workloads when needed Ensure release discipline through Git workflows, automated tests and code reviews Requirements 3+ years of strong Python engineering experience including packaging (wheels/pyproject), typing and clean architecture Proficiency in error handling and performance-oriented development Proven production SDLC background with Git workflows, automated tests and CI/CD Expertise in Pandas and NumPy in production pipelines Familiarity with data formats like Parquet and governed data access patterns Experience building and operating APIs/services using FastAPI, Flask or similar frameworks Competency working in governed platform environments such as Databricks or containerized dev platforms Nice to have Skills in scikit-learn for production feature and scoring pipelines, including reproducible transforms and model packaging/versioning Background in PySpark and distributed processing Knowledge of IDE-to-Databricks workflows such as Databricks Connect We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: The offer is for a Python Software Engineer to build and operate production-grade applications and data pipelines within a Production Data & Model Services team. You will transform data science prototypes into deployable services, expose analytics via APIs or scheduled jobs and collaborate with platform teams in governed environments. The role emphasizes strong SDLC practices, CI/CD, and scalable data processing with Python and Spark-based technologies. 🗂️ Requirements: 3+ years of Python engineering experience, Experience with Python packaging (wheels, pyproject), typing and clean architecture, Strong production SDLC experience with Git workflows, automated tests and CI/CD, Proficiency in error handling and performance-oriented development, Expertise in Pandas and NumPy in production pipelines, Experience with Parquet and governed data access patterns, Experience building and operating APIs/services with FastAPI, Flask or similar, Experience working in governed platforms such as Databricks or containerized environments 📃 Skills: Python, Pandas, NumPy, Parquet, FastAPI, Flask, PySpark, Databricks, Git, CI/CD, Spark, scikit-learn, GCP, Azure, AWS 🏢 Description: We are seeking a Python Software Engineer to join our Production Data & Model Services team. In this role, you will build and operate production-grade Python applications, transform data science prototypes into deployable services and collaborate with platform teams to deliver robust data pipelines and APIs. Responsibilities Build and run production-grade Python applications (APIs and batch jobs) with strong SDLC practices including code reviews, testing, CI/CD, observability and documentation Develop robust data pipelines (batch and near-real-time) reading and writing governed storage with Parquet/columnar formats and approved patterns Transform quant and data science prototypes into deployable packages/services (typed, modular, versioned) Expose scoring and analytics via APIs or scheduled jobs rather than notebook-only deliverables Collaborate with platform teams on Databricks/Spark connectivity Optimize PySpark workloads when needed Ensure release discipline through Git workflows, automated tests and code reviews Requirements 3+ years of strong Python engineering experience including packaging (wheels/pyproject), typing and clean architecture Proficiency in error handling and performance-oriented development Proven production SDLC background with Git workflows, automated tests and CI/CD Expertise in Pandas and NumPy in production pipelines Familiarity with data formats like Parquet and governed data access patterns Experience building and operating APIs/services using FastAPI, Flask or similar frameworks Competency working in governed platform environments such as Databricks or containerized dev platforms Nice to have Skills in scikit-learn for production feature and scoring pipelines, including reproducible transforms and model packaging/versioning Background in PySpark and distributed processing Knowledge of IDE-to-Databricks workflows such as Databricks Connect We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Senior Python Engineer role in the Investment Management domain focused on building and enhancing high-volume scalable platforms within a microservices architecture. The position involves developing mathematical models and data-driven solutions using Python, Java, AWS Analytics, and MATLAB, with strong emphasis on code quality and automated testing. The role combines backend engineering with quantitative modeling in an Agile, continuous delivery environment. 🗂️ Requirements: 3+ years of professional software engineering experience, Proficiency in Python, Experience with object-oriented languages such as Java or C++, Degree in Computer Science, Mathematics, Engineering or related field, Understanding of algorithms and data structures, Knowledge of mathematical modeling, quantitative analysis, statistics or data optimization, Experience with Pandas and NumPy, Familiarity with AWS Analytics, Familiarity with MATLAB, Familiarity with Bitbucket and Bamboo, Experience with Agile methodologies and CI/CD pipelines 📃 Skills: Python, Java, C++, AWS, MATLAB, Pandas, NumPy, Cucumber, Bitbucket, Bamboo, Microservices, Agile, CI/CD 🏢 Description: We are seeking an experienced Senior Python Engineer to join a project from the Investment Management domain. In this role, you will work on leading technologies within a Microservice architecture, with the development stack including Python, Java, Amazon Web Services (including AWS Analytics), Atlassian toolsets (Bamboo, Bitbucket), Cucumber automated testing, and MATLAB. This role also offers excellent opportunities to develop investment knowledge and acumen. This is a hybrid role with 3 days per week from the office, either from Krakow or Gdansk. Responsibilities Drive the development and enhancement of high-volume scalable platforms within a Microservice architecture Collaborate with cross-functional teams to build robust and scalable mathematical models for millions of case studies Apply Python development expertise while ensuring code quality, performance, and maintainability Design and implement solutions using diverse technologies, including Java, AWS Analytics, MATLAB, and Atlassian toolsets like Bamboo and Bitbucket Leverage automatic testing frameworks like Cucumber to ensure reliability and consistency Participate in state-of-the-art Agile practices and contribute to continuous delivery pipelines Support application improvements and resolve systems issues efficiently Implement quantitative strategies to optimize mathematical models and data-related processes Drive team initiatives by mentoring junior engineers and promoting knowledge sharing Requirements 3+ years of professional software engineering experience Proficiency in Python development, coupled with skills in object-oriented languages such as Java or C++ Background in Computer Science, Mathematics, Engineering, or a related discipline, ideally with an undergraduate degree Understanding of computer algorithms and classic data structures Fundamental knowledge in mathematical modeling, quantitative analysis, data optimization, or statistics Expertise in data analytics libraries such as Pandas and NumPy Familiarity with technologies like AWS Analytics, MATLAB, Bitbucket, and Bamboo Experience in Agile development methodologies with flexibility to adapt and support delivery pipelines Capability to work independently and deliver high-quality solutions within tight deadlines Showcase of attention to detail, critical thinking, and passion for problem-solving Nice to have Experience in the Investment Management industry Background in numerical computation, statistical analysis, or simulation projects Skills in advanced Python programming applied to mathematical modeling and data frameworks We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Senior Python Engineer role in the Investment Management domain focused on building and enhancing high-volume, scalable microservices-based platforms. The position involves developing mathematical models and data-driven solutions using Python and related technologies within an Agile environment. The role combines backend engineering, quantitative modeling, and cloud-based development. 🗂️ Requirements: 3+ years of professional software engineering experience, Proficiency in Python, Knowledge of Java or C++, Understanding of algorithms and data structures, Background in Computer Science, Mathematics, Engineering or related field, Knowledge of mathematical modeling and quantitative analysis, Experience with data analytics libraries, Familiarity with AWS Analytics, Familiarity with MATLAB, Familiarity with Bitbucket and Bamboo, Experience with Agile methodologies 📃 Skills: Python, Java, C++, AWS, MATLAB, Pandas, NumPy, Bitbucket, Bamboo, Cucumber, Microservices, Agile 🏢 Description: We are seeking an experienced Senior Python Engineer to join a project from the Investment Management domain. In this role, you will work on leading technologies within a Microservice architecture, with the development stack including Python, Java, Amazon Web Services (including AWS Analytics), Atlassian toolsets (Bamboo, Bitbucket), Cucumber automated testing, and MATLAB. This role also offers excellent opportunities to develop investment knowledge and acumen. This is a hybrid role with 3 days per week from the office, either from Krakow or Gdansk. Responsibilities Drive the development and enhancement of high-volume scalable platforms within a Microservice architecture Collaborate with cross-functional teams to build robust and scalable mathematical models for millions of case studies Apply Python development expertise while ensuring code quality, performance, and maintainability Design and implement solutions using diverse technologies, including Java, AWS Analytics, MATLAB, and Atlassian toolsets like Bamboo and Bitbucket Leverage automatic testing frameworks like Cucumber to ensure reliability and consistency Participate in state-of-the-art Agile practices and contribute to continuous delivery pipelines Support application improvements and resolve systems issues efficiently Implement quantitative strategies to optimize mathematical models and data-related processes Drive team initiatives by mentoring junior engineers and promoting knowledge sharing Requirements 3+ years of professional software engineering experience Proficiency in Python development, coupled with skills in object-oriented languages such as Java or C++ Background in Computer Science, Mathematics, Engineering, or a related discipline, ideally with an undergraduate degree Understanding of computer algorithms and classic data structures Fundamental knowledge in mathematical modeling, quantitative analysis, data optimization, or statistics Expertise in data analytics libraries such as Pandas and NumPy Familiarity with technologies like AWS Analytics, MATLAB, Bitbucket, and Bamboo Experience in Agile development methodologies with flexibility to adapt and support delivery pipelines Capability to work independently and deliver high-quality solutions within tight deadlines Showcase of attention to detail, critical thinking, and passion for problem-solving Nice to have Experience in the Investment Management industry Background in numerical computation, statistical analysis, or simulation projects Skills in advanced Python programming applied to mathematical modeling and data frameworks We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Senior Python Engineer role focused on building and maintaining Python applications for AI and automation use cases in the financial domain. The position involves developing data pipelines, collaborating on machine learning model lifecycle, and delivering scalable solutions within a cross-functional team. Hybrid work model with office presence in Wroclaw three days per week. 🗂️ Requirements: Strong proficiency in Python, Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn), Solid understanding of linear algebra, probability, statistics, calculus, Practical experience with Pandas and NumPy, Knowledge of supervised, unsupervised, and reinforcement learning algorithms, Experience with debugging, testing, and Git-based version control 📃 Skills: Python, TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, Git, AI, ML, NLP, ComputerVision, C++, Java, R 🏢 Description: We are seeking a skilled Senior Python Engineer to join a Project for our Client, a global leader in the area of banking, investments and financial services. This position offers a hybrid model of work, with 3 days per week working from the office located in Wroclaw. Responsibilities Build and maintain Python applications supporting AI and automation use cases Develop data preprocessing, transformation, and feature engineering pipelines Collaborate on training, evaluating, and deploying machine learning models Implement best practices in testing, version control, and code quality Work within a cross-functional POD to deliver scalable, reliable solutions Requirements Strong proficiency in Python Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn) Solid understanding of linear algebra, probability, statistics, and calculus Practical experience with Pandas, NumPy, and data manipulation workflows Familiarity with ML algorithms (supervised, unsupervised, reinforcement learning) Exposure to deep learning, NLP, or computer vision is beneficial Strong debugging, testing, and Git-based version control skills Nice to have C++, Java or R Language experience We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Senior Python Engineer role focused on building and optimizing cloud-native AI applications using Generative AI and Azure within a large-scale data platform. The position involves developing scalable Python solutions, implementing event-driven architectures, and applying RAG principles for advanced AI use cases. 🗂️ Requirements: Excellent Python coding skills, Proven hands-on Python development experience, Experience with Generative AI and LLMs, Familiarity with Azure services and environment, Strong understanding of event-based design patterns, Knowledge of RAG architecture principles 📃 Skills: Python, Azure, GenAI, LLMs, RAG, EventDriven, Cloud 🏢 Description: We are seeking a highly skilled Senior Python Engineer with experience in Generative AI and Azure, for our Client, a global leader in 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 and maintain Python applications that meet business requirements and technical specifications Collaborate with cross-functional teams to design, develop, and implement software solutions Utilize Azure services and technologies to build scalable and efficient applications Implement event-based design patterns to enhance application functionality and performance Utilize understanding of the RAG architecture Troubleshoot, debug, and optimize code to ensure high performance and reliability Stay updated with the latest industry trends, technologies, and best practices in Python development and cloud computing Requirements Excellent Python coding skills Proven hands-on experience with Python development Experience in Gen AI and LLMs Familiarity with the Azure environment and related technologies Strong understanding of event-based design patterns Knowledge of RAG architecture principles Excellent problem-solving skills and attention to detail Strong communication and collaboration abilities Nice to have Experience working in the financial services industry Certification in Azure or related cloud technologies Familiarity with other programming languages and frameworks Understanding of Agile methodologies and DevOps practices We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 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!