Data Engineer

🏢 Summary: Entry-level Data Engineering role for a Python Developer to build and optimize data pipelines and analytical solutions under senior guidance. The position focuses on developing cloud-based data processing systems and data models while expanding expertise in modern data engineering tools. Ideal for a developer with strong Python skills aiming to transition into Data Engineering. 🗂️ Requirements: 3+ years of professional Python experience, Experience with SQL, Experience with relational databases, Ability to write clean, maintainable code, Understanding of data processing concepts, Willingness to learn cloud technologies, Analytical and problem-solving skills 📃 Skills: Python, SQL, SQLServer, PostgreSQL, MySQL, Azure, AWS, GCP, Spark, Databricks, Airflow, ETL, ELT 🏢 Description: Python Developer (Data Engineering Path) You are A passionate Python developer, eager to grow and explore the world of Data Engineering. Curious, proactive, and motivated to learn new technologies. Someone who enjoys coding, problem-solving, and wants to build data solutions that make an impact. Opportunity overview You will start your journey in Data Engineering, working closely with our senior data engineers. You’ll gradually get hands-on experience with modern data pipelines, cloud services, and analytical solutions, while leveraging your strong Python skills. Your impact zone Writing clean, maintainable Python code for data processing tasks. Learning and gradually contributing to the design and implementation of cloud-based data pipelines and data models. Collaborating with senior engineers on best practices in data engineering, including data integrity, quality, and documentation. Supporting optimization of existing analytical solutions. Growing your skills in cloud platforms (Azure / AWS / GCP) and modern data engineering tools. Qualifications & tech toolbox Very strong experience in Python (3+ years). Experience with SQL and relational databases (SQL Server, PostgreSQL, MySQL, or similar). Analytical mindset and problem-solving skills. Willingness to learn cloud technologies and modern data engineering concepts. Extra stardust for Exposure to cloud platforms (Azure / AWS / GCP). Experience with data pipelines, ETL/ELT, or big data tools. Knowledge of Apache Spark, Databricks, or Airflow. Here's why you'll love Cloudfide BENEFITS: Professional development budget – training and certification. MyBenefit cafeteria (including Multisport). Medicover medical care. Team-building events and trips. FLEXIBILITY: Work from anywhere, influence your tools, tech, and solutions. STABILITY: Long-term employment (contract of mandate or B2B). START-UP CULTURE: Open communication, creative problem solving, flat hierarchy. GROWTH: Accelerate your career by learning Data Engineering hands-on. Work on Big Data and cloud projects. COLLABORATION: Join a diverse, passionate team where every voice matters, and enjoy working with people who care about their craft. Equal opportunities CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

🏢 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: 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 Data Engineer role focused on large-scale migration from SQL Server to Databricks/Delta Lake, transforming complex SQL logic into production-grade Python/PySpark solutions. The position centers on enterprise-level data engineering, data modeling, and software development within a Medallion Architecture. The project involves redesigning and implementing scalable data solutions for thousands of databases in a long-term transformation initiative. 🗂️ Requirements: Very strong Python skills, Very strong PySpark skills, Proven experience with Databricks, Proven experience with Delta Lake, Strong SQL skills and ability to understand complex stored procedures, Experience working with large, shared codebases, Solid object-oriented programming knowledge, Strong data modeling experience (transactional and analytical), Experience in platform/data migration projects, Knowledge of Medallion Architecture (Bronze/Silver/Gold), Experience with large-scale data processing, Very good English skills, EU citizenship, Residence in Poland 📃 Skills: Python, PySpark, Databricks, DeltaLake, SQL, OOP, DataModeling, MedallionArchitecture, AzureDataFactory, AzureDevOps, Git, CI/CD, PowerBI 🏢 Description: In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Senior Data Engineer with Python and Databricks. This role supports a large-scale transformation from SQL Server–based systems to a Databricks / Delta Lake platform. The focus is on enterprise-grade data engineering and software development , not analytics or reporting. The project is SQL2Databricks migration, it involves 3500-4000 SQL DBs (2TB), replicating data in different shapes/ schemas to Databricks. Project information: Type of project: IT Services Office location: Poland Work model: Remote from Poland Budget: 140 - 160 PLN net/ h - b2b Project length: till the end of 2026, possible to extend it Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP Project scope: Support a large-scale transformation from SQL Server–based systems to a Databricks / Delta Lake platform Transform complex, business-critical SQL logic (stored procedures) into clean, maintainable, and scalable Python / PySpark code Redesign and implement this logic in Python / PySpark within Databricks Contribute to a large, long-running data engineering codebase used by multiple teams Develop production-grade transformation code (packages, modules, reusable components) Design and evolve data models within a Medallion Architecture (Bronze / Silver / Gold) across multiple data layers Ensure software engineering quality, reusability, and long-term maintainability Apply software engineering best practices (clean code, OOP, modularization, refactoring) Work with very large data volumes and highly parallel, event-driven transformations Actively participate in code reviews and technical design discussions Support orchestration workflows (e.g., Azure Data Factory) Competence demands: Very strong Python and PySpark skills; proven experience with Databricks and Delta Lake Experience working in large, shared codebases (beyond notebooks) Strong SQL skills, especially reading and understanding complex logic Solid object-oriented programming experience, clean code principles Strong data modelling background (transactional and analytical) Experience in redesigning models during platform migrations Familiarity with layered data architectures (Bronze / Silver / Gold) Very good English skills Nice to have: Azure Data Factory (orchestration) Azure DevOps, Git, CI/CD pipelines Power BI or analytics tooling Infrastructure / DevOps knowledge (not mandatory) We offer: Remote working model Dynamic and innovation-driven engineering environment Full-time job agreement based on b2b Private medical care with dental care (covering 70% of costs) Multisport card (also for an accompanying person) Life insurance

🏢 Summary: Senior Python Engineer role focused on building and optimizing an ML-ready portfolio platform, including migration to Azure-native Databricks. The position involves big data processing, ETL development, and performance tuning using Spark and Delta technologies. The engineer will also enhance and secure data pipelines within a cloud-based environment. 🗂️ Requirements: 3+ years of experience with Python, Proficiency in Python ETL tools and processes, Strong experience with FastAPI, Experience with Big Data processing, Experience with Databricks, Experience with Azure cloud environment, Experience with Java Spark, Experience with Delta tables, Experience updating and managing library dependencies for security 📃 Skills: Python, FastAPI, Databricks, Azure, Spark, Java, Delta, ETL, BigData, ML 🏢 Description: We are seeking a Senior Python Engineer with experience in FastAPI and ideally exposure to React UI, for our client, a global leader in banking, investment banking, and financial services. The product is an ML-ready platform for rapid portfolio model development and deployment. It combines data governance, Big Data, and AI — including GenAI capabilities — to boost alpha generation, enhance client services, and ensure regulatory compliance, while improving data quality and cost efficiency. The team is currently migrating from an IaaS Big Data platform to Azure-native Databricks. This position offers a flexible hybrid work model, with 3 days per week working from the office located in Wroclaw. Responsibilities Migrate and optimize data using Databricks optimization techniques Manage big data Tune models for Azure with Java Spark and Delta tables Address vulnerabilities through library version updates Requirements 3+ years of proven experience with Python Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field Proficiency in Python ETL tools and processes, and FastAPI Strong communication and collaboration skills English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have Experience and knowledge of React.js 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 production-grade data pipelines and AI-driven systems, including LLM-based applications. The position involves designing scalable architectures, processing large datasets, and integrating modern cloud data platforms. You will work on complex, real-world data solutions used in production environments. 🗂️ Requirements: Senior-level Python experience, Strong knowledge of SQL and data processing, Experience building and maintaining data pipelines, Hands-on experience with orchestration tools (Airflow, Prefect, or Dagster), Experience with cloud data platforms (S3, BigQuery, Snowflake, or Databricks), Experience integrating LLM frameworks (LangChain or LlamaIndex), Ability to design scalable, production-ready systems 📃 Skills: Python, Pandas, NumPy, PySpark, SQL, Airflow, Prefect, Dagster, S3, BigQuery, Snowflake, Databricks, LangChain, LlamaIndex, LLM 🏢 Description: Our client is a technology consultancy that builds advanced data and AI systems for startups and enterprise companies. Their focus is on delivering production-ready solutions, especially in areas like data platforms, large-scale processing, and LLM-based applications. The Role As a Senior Python Engineer, you’ll be working on complex, data-heavy systems that go beyond prototypes. This includes designing and developing data pipelines, handling large-scale datasets, and integrating modern AI solutions (including LLMs) into real-world products. You’ll collaborate closely with experienced engineers and take part in architectural decisions, helping turn ideas into scalable, reliable systems used in production. What we’re looking for We’re looking for a strong senior-level engineer with deep experience in Python (including libraries like Pandas, NumPy, and PySpark), as well as solid knowledge of SQL and data processing. You should be comfortable working with data pipeline orchestration tools such as Airflow, Prefect, or Dagster, and have hands-on experience with modern cloud data platforms (e.g. S3, BigQuery, Snowflake, or Databricks). Experience with LLM frameworks like LangChain or LlamaIndex, especially in the context of data integration, is an important part of this role. Why join This is a great opportunity to work on real AI and data systems at scale, in a consultancy environment where engineering quality matters and you have a genuine impact on technical decisions. You’ll join a senior, low-ego team, work fully remotely from Poland, and contribute to projects for international clients.

🏢 Summary: Senior Python Engineer role focused on building and optimizing an ML-ready data platform for portfolio model development. The position involves migrating Big Data workloads to Azure-native Databricks, optimizing data processing, and tuning models using Spark and Delta tables. Hybrid work model with significant involvement in cloud-based data engineering and platform optimization. 🗂️ Requirements: 3+ years of experience with Python, Bachelor’s or Master’s degree in Computer Science, IT or related field, Proficiency in Python ETL tools and processes, Experience with FastAPI, Experience with Big Data platforms, Experience migrating and optimizing workloads in Databricks, Experience tuning models using Spark and Delta tables, Ability to manage and optimize data in Azure environment, Experience updating libraries and resolving security vulnerabilities 📃 Skills: Python, FastAPI, Databricks, Azure, Spark, Java, Delta, ETL, BigData 🏢 Description: We are seeking a Senior Python Engineer with experience in FastAPI and ideally exposure to React UI, for our client, a global leader in banking, investment banking, and financial services. The product is an ML-ready platform for rapid portfolio model development and deployment. It combines data governance, Big Data, and AI — including GenAI capabilities — to boost alpha generation, enhance client services, and ensure regulatory compliance, while improving data quality and cost efficiency. The team is currently migrating from an IaaS Big Data platform to Azure-native Databricks. This position offers a flexible hybrid work model, with 3 days per week working from the office located in Wroclaw. Responsibilities Migrate and optimize data using Databricks optimization techniques Manage big data Tune models for Azure with Java Spark and Delta tables Address vulnerabilities through library version updates Requirements 3+ years of proven experience with Python Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field Proficiency in Python ETL tools and processes, and FastAPI Strong communication and collaboration skills English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have Experience and knowledge of React.js 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: Remote Full-stack Data Engineer role focused on building and enhancing a modern Azure-based data architecture and reporting framework supporting IFRS17 and IFRS9 processes, using Angular and Python. The position involves end-to-end development of data pipelines, ETL solutions, and full-stack applications within a scalable cloud environment. 🗂️ Requirements: Proven experience as Full-stack Developer or Data Engineer, Strong hands-on experience with Angular, Strong hands-on experience with Python and Flask, Experience with Microsoft Azure services, Experience building ETL or data integration pipelines, Knowledge of unit testing and integration testing, Experience with data architectures and reporting frameworks, Understanding of configuration management and deployment processes, European Union citizenship, Residence in Poland 📃 Skills: Angular, Python, Flask, Azure, DataFactory, Databricks, ETL, SQL, IFRS17, IFRS9 🏢 Description: In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are currently looking for an experienced Full-stack Data Engineer (Azure + Python + Angular) to join a remote development team working on building a modern data architecture and reporting framework supporting IFRS17 and IFRS9 Quality Assurance and reporting processes. Project information: Type of project: IT services Office location: Poland Work mode: Remote Budget: 100–130 PLN net/h – b2b Project length: Long-term Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP (depending on candidate’s availability) Project scope: Design, develop, and maintain full-stack solutions using Angular (frontend) and Python (Flask backend) Build and deploy end-to-end data pipelines and applications (development-focused, not only maintenance) Develop and maintain application code, mappings, and integrations across systems Design and implement ETL / Data Integration solutions using Azure Data Factory and Azure Databricks Participate in architecture design and contribute to building a scalable data and reporting framework Collaborate with business stakeholders to design wireframes and define UI requirements Ensure proper documentation of UI and system requirements Troubleshoot and resolve technical issues across the application stack Maintain and enhance the current VITA architecture Improve system performance, scalability, and security Deliver product releases in line with specifications, including unit testing Implement new features, change requests, and required design/documentation activities Develop and execute integration tests to ensure compliance with requirements Maintain and update build procedures and configuration management processes Competence demands: Proven experience as a Full-stack Developer / Data Engineer or similar role Strong hands-on experience with Angular and Python (Flask) Solid experience with Microsoft Azure ecosystem (Data Factory, Databricks, cloud services) Experience in building ETL / data integration pipelines Knowledge of unit testing and integration testing practices Understanding of configuration management and deployment processes Experience working with data architectures and reporting frameworks Familiarity with regulatory environments (IFRS17 / IFRS9 is a strong plus) Strong problem-solving and troubleshooting skills Ability to work independently in a remote environment Good communication skills and ability to collaborate with business stakeholders We offer: Remote working model Full-time job agreement based on b2b Private medical care with dental care (covering 70% of costs) Multisport card (also for an accompanying person) Life insurance

🏢 Summary: Senior Python Software Engineer role focused on building and operating production-grade Python applications and data pipelines, transforming data science prototypes into scalable, deployable services. The position emphasizes strong SDLC practices, API development, governed data environments and collaboration with platform teams using Databricks and Spark. It combines backend engineering, data processing and model service exposure in enterprise production environments. 🗂️ Requirements: 3+ years of Python engineering experience, Proficiency in Python packaging (wheels, pyproject), Experience with typing, clean architecture and error handling, Strong production SDLC experience (Git workflows, automated tests, CI/CD, code reviews), Strong skills in Pandas and NumPy, Experience with Parquet and governed data access patterns, Experience building APIs with FastAPI, Flask or similar frameworks, Experience working in Databricks or other governed platform environments 📃 Skills: Python, Pandas, NumPy, Parquet, FastAPI, Flask, Databricks, Spark, PySpark, Git, CI/CD, scikit-learn 🏢 Description: We are seeking a Senior Python Software Engineer (Production Data & Model Services) to design, build and operate production-grade Python applications and data pipelines. In this role, you will transform quantitative and data science prototypes into robust, deployable services while collaborating closely with platform teams to ensure scalable and well-governed solutions. Responsibilities Build and run production-grade Python applications including APIs and batch jobs with strong SDLC practices covering code reviews, testing, CI/CD, observability and documentation Develop robust batch and near-real-time data pipelines reading and writing governed storage with Parquet and columnar formats following approved patterns Transform quant and data science prototypes into deployable packages and services that are typed, modular and versioned Expose scoring and analytics capabilities via APIs or scheduled jobs rather than notebook-only deliverables Collaborate with platform teams on Databricks and Spark connectivity Optimize PySpark workloads when needed to ensure performance and scalability Maintain release discipline through Git workflows, automated tests and code reviews Operate within governed platform environments to ensure compliance and reliability Requirements 3+ years of experience in Python engineering with proficiency in packaging (wheels/pyproject), typing, clean architecture, error handling and performance mindset Proven background in production SDLC including Git workflows, automated tests, CI/CD, code reviews and release discipline Strong skills in Pandas and NumPy applied to production pipelines Familiarity with data formats such as Parquet and governed data access patterns Experience building and operating APIs and services using FastAPI, Flask or similar frameworks Competency in working within 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 Familiarity with 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.