Python Engineer

🏢 Summary: Mid-level Python engineering role focused on building data pipelines and analytical tooling for trading systems, working close to live trading infrastructure and high-resolution market data. The position involves developing libraries and monitoring frameworks to analyze execution quality and optimize trading performance in a high-performance environment. 🗂️ Requirements: 7+ years of professional Python development, Experience building libraries, data platforms, or analytical tooling, Experience with large-scale and time-series datasets, Strong knowledge of NumPy and Pandas, Solid SQL knowledge, Experience with analytical databases, Experience working in Linux environments, Experience with testing, version control, and CI practices, Familiarity with financial markets or electronic trading 📃 Skills: Python, NumPy, Pandas, SQL, Linux, CI, Git, Testing, Databases, Time-series 🏢 Description: Empower the future of trading technology — design innovative data pipelines and analytics that revolutionize market microstructure! Wroclaw-based opportunity with on-site work model. As a Mid-Level Python Engineer – Trading Systems & Data Pipelines , you will be working for our client, a leading financial technology firm specializing in trading infrastructure. You will help build and enhance systems that analyze trading behavior, optimize execution strategies, and support high-performance live trading environments. This is a chance to directly impact the efficiency and transparency of global markets through cutting-edge engineering. Your main responsibilities: Develop Python libraries, data pipelines, and tooling to process exchange protocols, order flow, and large-scale trading data. Design analytical frameworks, metrics, and monitoring tools to evaluate execution quality and system performance. Operate close to the trading stack, working with high-resolution datasets for research and production use. Collaborate with stakeholders to translate analytical insights into measurable improvements in trading execution. Support live trading systems through data validation, pipeline reliability, and real-time monitoring. Analyze trading behavior across venues to identify inefficiencies and improve latency and fill performance. Work with research and infrastructure teams to support ongoing development of market behavior understanding. You're ideal for this role if you have: 7+ years of professional experience in Python development, building libraries, data platforms, or analytical tooling. Strong experience working with large-scale and time series datasets using tools such as NumPy and Pandas. Solid SQL knowledge and experience working with analytical databases. Excellent problem-solving skills and the ability to investigate complex data and system behaviors. Ability to translate analytical or trading-related problems into robust engineering solutions. Experience working in Linux environments, following best practices like testing, version control, and CI. Strong communication skills for collaborating across technical and non-technical teams. Familiarity with financial markets, electronic trading, or execution analysis. It is a strong plus if you have: Exposure to network protocols, packet analysis, or performance optimization techniques. Experience with lower-level programming languages such as C, C++, or Rust. Language Required for the role: Fluent English 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: Senior Python Developer role focused on building high-performance data pipelines and monitoring solutions for low-latency trading systems. The position involves processing network packet data, developing analytics tools, and enhancing real-time trading infrastructure. It offers direct impact on trading performance within a financial technology environment. 🗂️ Requirements: Minimum 3 years of software development experience, Professional experience with Python, Experience with Shell scripting, Experience in data analytics and time series analysis, Basic knowledge of TCP/IP, UDP and Ethernet protocols, Understanding of GNU/Linux kernel and OS internals, Basic knowledge of C/C++, Fluent English, Legal right to work in the European Union 📃 Skills: Python, Shell, TCP/IP, UDP, Ethernet, Linux, GNU, C, C++, Analytics, TimeSeries 🏢 Description: Empower the Future of Trading — Shape High-Performance Data Pipelines in a Dynamic Financial Ecosystem! Wroclaw-based opportunity with on-site work model (5 on-site days per week allowed). As a Senior Python Developer – Trading Technology & Data Pipelines , you will be working for our client, a leading financial technology firm specializing in low-latency trading strategies. Join a team of innovative engineers and researchers dedicated to optimizing and transforming trading performance through cutting-edge data solutions and monitoring tools. This role offers a unique chance to directly influence trading outcomes and advance your career in financial technology. Your main responsibilities: Develop tools to collect and aggregate data from complex trading systems. Design and implement data pipelines to process network packet captures for low-latency network analysis. Build monitoring solutions with anomaly detection for network traffic and system metrics. Collaborate with the team to optimize trading strategies and improve system performance. Gain expertise in financial markets and trading technology while proposing measurable improvements. Contribute to high-performance data infrastructure supporting real-time trading decisions. Work closely with engineers to streamline data flows and enhance system reliability. You're ideal for this role if you have: At least 3 years of experience in software development, preferably in trading or finance. Strong proficiency in Python and Shell scripting. Experience in data analytics and time series analysis. Basic knowledge of TCP/IP, UDP, and Ethernet protocols. Understanding of GNU/Linux kernel and operating system internals. Fundamental knowledge of C/C++ programming. An interest in financial markets and trading technology. It is a strong plus if you have: (optional) Certifications or experience in network analysis or low-latency systems. Language Required for the role: Fluent in English, with excellent communication skills to collaborate effectively. Eligibility to work on this 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: Mid-Level Python Engineer role focused on building and optimizing data pipelines and analytical frameworks for trading systems in a high-performance, live market environment. The position involves processing large-scale trading data, improving execution quality, and supporting real-time monitoring within the trading stack. This is an on-site opportunity in Wroclaw with direct impact on trading efficiency and market transparency. 🗂️ Requirements: 7+ years of professional Python development experience, Experience building libraries, data platforms, or analytical tooling, Strong experience with large-scale and time series datasets, Proficiency with NumPy and Pandas, Solid SQL knowledge, Experience with analytical databases, Experience working in Linux environments, Experience with testing, version control, and CI, Fluent English, Legal right to work in the European Union 📃 Skills: Python, NumPy, Pandas, SQL, Linux, CI, Git, C, C++, Rust 🏢 Description: Empower the future of trading technology — design innovative data pipelines and analytics that revolutionize market microstructure! Wroclaw-based opportunity with on-site work model. As a Mid-Level Python Engineer – Trading Systems & Data Pipelines , you will be working for our client, a leading financial technology firm specializing in trading infrastructure. You will help build and enhance systems that analyze trading behavior, optimize execution strategies, and support high-performance live trading environments. This is a chance to directly impact the efficiency and transparency of global markets through cutting-edge engineering. Your main responsibilities: Develop Python libraries, data pipelines, and tooling to process exchange protocols, order flow, and large-scale trading data. Design analytical frameworks, metrics, and monitoring tools to evaluate execution quality and system performance. Operate close to the trading stack, working with high-resolution datasets for research and production use. Collaborate with stakeholders to translate analytical insights into measurable improvements in trading execution. Support live trading systems through data validation, pipeline reliability, and real-time monitoring. Analyze trading behavior across venues to identify inefficiencies and improve latency and fill performance. Work with research and infrastructure teams to support ongoing development of market behavior understanding. You're ideal for this role if you have: 7+ years of professional experience in Python development, building libraries, data platforms, or analytical tooling. Strong experience working with large-scale and time series datasets using tools such as NumPy and Pandas. Solid SQL knowledge and experience working with analytical databases. Excellent problem-solving skills and the ability to investigate complex data and system behaviors. Ability to translate analytical or trading-related problems into robust engineering solutions. Experience working in Linux environments, following best practices like testing, version control, and CI. Strong communication skills for collaborating across technical and non-technical teams. Familiarity with financial markets, electronic trading, or execution analysis. It is a strong plus if you have: Exposure to network protocols, packet analysis, or performance optimization techniques. Experience with lower-level programming languages such as C, C++, or Rust. Language Required for the role: Fluent English Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER

🏢 Summary: Mid-Level Python Systems Engineer role focused on building telemetry, diagnostics, and network analysis tools to enhance observability and performance of algorithmic trading systems. The position bridges software development, Linux systems, and networking to analyze low-level OS and network behavior in real time. You will develop data pipelines and automation tools to optimize trading infrastructure performance. 🗂️ Requirements: Minimum 3 years commercial experience with Python, Strong practical experience working in Linux environments, Understanding of OS internals: processes, memory, networking, Knowledge of TCP/IP, UDP, Ethernet, Multicast, Experience building and optimizing data pipelines, Ability to analyze raw network packet captures (PCAP), Practical Shell/Bash scripting skills, Basic ability to read C or C++ code 📃 Skills: Python, Linux, TCP/IP, UDP, Ethernet, Multicast, Bash, PCAP, Wireshark, tcpdump, C, C++ 🏢 Description: The Company: Our client is an innovative technology-driven trading firm operating globally. They are active players in the quantitative finance sector, known for leveraging massive datasets and advanced infrastructure. If you are passionate about computer systems engineering and want to dive into an environment where performance matters, this is a great place to grow. You will join a collaborative R&D team that builds and maintains the backbone of algorithmic trading systems. The Role: As a Mid-Level Python Systems Engineer, you will help bridge the gap between software development, network engineering, and data analysis. Working closely with senior engineers, your goal will be to enhance the observability and performance of the trading platform. Instead of writing trading strategies, you will help build the "eyes and ears" of the system—tools that allow the team to see exactly what is happening inside the network stack and the operating system in real-time. Key Responsibilities: System Telemetry & Tooling: Develop and maintain custom Python-based tools to harvest and aggregate telemetry data from distributed trading components. Network Analysis Pipelines: Build and optimize data pipelines specifically for processing raw network packet captures (PCAP) to analyze latency and throughput. Automated Diagnostics: Help create algorithms to detect anomalies in traffic patterns and OS performance metrics before they impact trading. Infrastructure Optimization: Collaborate with the team to analyze findings and recommend changes in the trading stack (e.g., kernel tuning, network config) to improve overall performance. Essential Skills: Python Experience: Minimum of 3 years of commercial experience writing clean, efficient, and robust Python code. Practical Linux Knowledge: You are comfortable working in a Linux environment and have a good understanding of how the OS handles processes, memory, and networking. An eagerness to learn more advanced concepts (like context switches or kernel bypass) is highly valued. Networking Fundamentals: Good understanding of the lower layers of the OSI model (TCP/IP, UDP, Ethernet, Multicast). Scripting: Practical knowledge of Shell/Bash for everyday automation tasks. Low-Level Awareness: Basic ability (or a strong willingness to learn how) to read C or C++ code to understand how Python interfaces with lower-level components. Desirable Experience (Nice to have): Background in analyzing large time-series datasets. Experience with network sniffing tools (Wireshark, tcpdump) and programmatic packet analysis. Previous exposure to FinTech, HFT, or electronic trading environments (though strong pure-tech candidates from other industries are very welcome!).

🏢 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: Opportunity for a Quantitative Developer to build and optimize scalable research, analytics, and trading platforms handling large-scale real-time and historical market data. The role focuses on high-performance software development, data pipeline design, and low-latency system optimization in production environments. You will develop robust applications supporting quantitative strategy development and simulation workflows. 🗂️ Requirements: Degree in Computer Science, Engineering, Mathematics, Physics, or related field, Professional experience building and operating production software systems, Strong programming skills in Python, Strong programming skills in modern C++, Experience with SQL databases, Experience working in Linux environments, Experience with distributed systems, Knowledge of performance profiling, debugging, and optimization, Understanding of financial markets and quantitative data processing 📃 Skills: Python, C++, SQL, Linux, DistributedSystems, Profiling, Debugging, Optimization, MarketData, DataPipelines 🏢 Description: Quantitative Developer We are seeking an experienced engineer to design and develop scalable platforms supporting quantitative research, analytics, and trading workflows. The role combines software engineering, data processing, and performance optimization in environments handling large-scale real-time and historical datasets. Responsibilities: Develop and maintain research and analytics platforms used for strategy development and simulation. Build high-performance applications and libraries in Python and C++. Design scalable data pipelines and storage solutions for market data processing. Improve system reliability, automation, monitoring, and deployment processes. Optimize application and infrastructure performance for low-latency and high-throughput workloads. Collaborate closely with technical and business stakeholders to deliver production-ready solutions. Support engineering best practices and mentor junior team members. Requirements: Degree in Computer Science, Engineering, Mathematics, Physics, or a related field. Professional experience building and operating production software systems. Strong programming skills in Python and modern C++. Experience with SQL databases, Linux environments, and distributed systems. Knowledge of performance profiling, debugging, and optimization techniques. Understanding of financial markets and quantitative data processing. Strong analytical and communication skills. Nice to have: Experience with backtesting, pricing, or simulation frameworks. Familiarity with real-time market data systems. Exposure to cloud infrastructure and scalable compute environments. Background in quantitative finance, systematic trading, or financial engineering.

🏢 Summary: Full-Stack Developer role focused on building automation solutions for Trading Front and Back Office processes, including deal capture and settlement. The position involves designing scalable digital systems, improving governance and logging, and ensuring operational excellence using modern DevOps and cloud practices. The role requires strong expertise in databases, Python, web technologies, and containerized environments. 🗂️ Requirements: Proficiency in relational databases (PostgreSQL, Oracle DB), Strong knowledge of Python and Flask, Experience with test automation, Experience with CI/CD pipelines, Experience with Azure services, Experience with Docker and Kubernetes, Proficiency in Angular, Ability to work in an agile environment, Ability to take ownership of technical tasks 📃 Skills: Python, Flask, PostgreSQL, Oracle, Angular, Docker, Kubernetes, Azure, CI/CD, SQL, Automation, Git 🏢 Description: Introduction & Summary: We are seeking a skilled Full-Stack Developer with a focus on Trading & Automation. In this role, you will be instrumental in transforming complex commercial contracts through reliable and scalable digital processes. Your expertise in relational databases, Python, and automation frameworks will be essential in establishing robust systems that enhance the efficiency of business operations. Main Responsibilities: Develop automation solutions for deal capture and settlement in Trading Front and Back Office. Ensure compliance and protection of processes through governance and improved logging environments. Collaborate with team members and stakeholders to align solutions with business requirements. Maintain operational excellence through best practices and cost optimization. Key Requirements: Proficiency in relational databases (PostgreSQL, Oracle DB). Familiarity with Python and frameworks like Flask. Expertise in test automation, CI/CD pipelines, Azure services, Docker, and Kubernetes. Proficiency with web framework Angular. Ability to work effectively in an agile environment and take ownership of tasks. Other Details This position is based in Warsaw, Poland, where the consultant is required to be on-site for 2 days in week.

🏢 Summary: Senior Python Developer role focused on building a comprehensive financial platform for researching and running systematic trading strategies. The position involves close collaboration with quantitative analysts to implement trading, risk modeling, and portfolio optimization logic into a unified system. The role includes end-to-end ownership of solution delivery in a fintech environment. 🗂️ Requirements: 5+ years professional experience in Python software engineering, Hands-on experience in fintech industry, Strong English communication skills, Experience working directly with stakeholders without Business Analyst, Experience with AI tools and LLMs, Proficiency with Pandas DataFrames, Proficiency with SQLAlchemy, Strong knowledge of SQL, Experience with Python virtual environments, Experience with Pytest or similar testing frameworks, Intermediate+ experience with AWS or similar cloud platform, Experience with multiprocessing, multithreading, asyncio, Availability until 7 PM (Poland time) at least 3 days per week 📃 Skills: Python, Pandas, SQLAlchemy, SQL, PostgreSQL, MySQL, Pytest, AWS, S3, IAM, Multiprocessing, Multithreading, Asyncio, LLM, AI 🏢 Description: At Syberry , we believe that great software starts with a simple principle: being a strategic partner who helps clients achieve their goals. We are a global team that builds custom software for industries ranging from finance to healthcare. Our mission is to raise the bar for the entire software industry, that's why we invest in strong engineering practices, automation, and clear processes to make our work predictable, efficient, and meaningful. Join us as a Senior Python Developer to drive cutting-edge solutions while growing in a collaborative, forward-thinking environment. The Project We are building a financial platform that will research and run systematic trading strategies.  We collaborate with the quant team on strategy research, risk modeling, and portfolio optimizations. Our software engineering team embeds the corresponding logic into the platform. Similar systems already exist on the market, but quants need to use several of them to research and run trading strategies. Our client’s idea is to build a system that can do it all. You can learn more about the project in our case studies Responsibilities Design and implement engineering solutions that directly support the customer’s business goals Collaborate closely with quantitative analysts to gather, clarify, and refine requirements through direct communication (no intermediary Business Analyst) Take ownership of the end-to-end delivery process, from understanding the problem to deploying stable and maintainable solutions Present completed work during regular demo sessions , clearly explaining the value delivered and technical decisions made Contribute to maintaining high production stability and quality , proactively identifying and addressing potential issues Requirements 5+ years of professional experience in Python software engineering Strong experience in the fintech industry, specifically in risk management , asset/investments management , and institutional trading Strong communication skills and fluency in English Comfortable working directly with stakeholders (no BA on the project) Experience with AI tools and LLMs (commercial or personal) and interest in using them in development Confident in working with: Pandas DataFrames SQLAlchemy SQL (PostgreSQL, MySQL, or similar dialects) Python virtual environments Pytest (or similar test frameworks) Intermediate+ experience with: AWS (S3, IAM) or a similar cloud platform Multiprocessing, multithreading, asyncio Availability until 7 PM (Poland time) at least 3 days a week for crossover with a client located in NY Benefits Direct influence on the product. Your ideas and contributions shape the roadmap and outcomes Collaboration with experienced Wall Street professionals. Gain insights and grow alongside domain experts Lean processes, minimal overhead. Focus on delivering value, not navigating bureaucracy Small, agile teams. Work closely with talented peers in a high-impact environment B2B employment model with: 20 paid workdays off per year 3 paid sick days Remote-friendly culture. Choose the setup that works best for you: fully remote, hybrid, or in-office Team and corporate events. We value connection and fun, with regular team-building and company-wide celebrations

🏢 Summary: Role for an experienced Python Developer to design and maintain scalable systems and data pipelines for digital health solutions. The position involves building prototypes and MVPs, contributing to system architecture, and improving performance and reliability of applications. It requires strong expertise in scalable software development and hands-on data pipeline implementation. 🗂️ Requirements: 5+ years of experience with Python, Hands-on experience building data pipelines, Strong knowledge of software architecture, Experience with scalable systems development, Ability to design and maintain high-quality codebases 📃 Skills: Python, AWS, Azure, CI/CD, SQL, Elasticsearch, OpenSearch, Neptune, Neo4j 🏢 Description: Python Developer with data pipeline About the project We are seeking a Python Developer with data pipeline for a global life‑science company driving innovation in digital health . You will build and maintain scalable applications, working closely with cross‑functional teams and contributing to new features and MVPs. Success in this role requires strong system architecture skills, hands‑on experience with scalable software, and a passion for experimentation and rapid prototyping. Tasks Develop and maintain scalable systems and data pipelines Build prototypes and MVPs to test new ideas Contribute to system architecture and high‑quality coding practices Improve performance, reliability, and maintainability of solutions Expectations 5+ years of experience with Python Hands-on experience building data pipelines Strong understanding of software architecture and scalable development Clear and effective communication skills Advanced English proficiency (C1 level) Nice to have Experience with AWS services Azure DevOps CI/CD pipelines Relational databases Elasticsearch/OpenSearch Graph databases (e.g., Neptune, Neo4j) We offer Ongoing support from a dedicated agent , taking care of your project continuity, client contact, necessary formalities, work comfort and development, Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors, Access to 7N Learning & Development – a development and educational platform with webinars, a library of articles and industry reports, and regular invitations to one-time and recurring development events – technical, business, and lifestyle, Spectacular integration events , both for you (e.g., annual Kick-Off trip , Christmas parties, or Summer Olympics sports events) and for your loved ones (e.g., family picnics, movie premieres), Professional development not only during the project – you can get involved in knowledge transfer to others within the 7N Services offering directed at 7N clients, Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years, A complete benefits package , including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad. About 7N Constantly searching for projects, difficult rate negotiations, lack of development support – sounds familiar? At 7N, you gain not only stability of contracts but also the personal involvement of a dedicated agent who ensures your professional comfort and continuous access to development initiatives. Our mission is to provide stable and rewarding collaborations that drive your success as an IT expert and the success of our clients. We build long-lasting relationships based on Scandinavian values and 30 years of experience creating IT solutions for over 200 organizations.