Software Engineer (C++/Rust)

🏢 Summary: Junior-to-mid-level product marketing role focused on copywriting, messaging, launch campaigns, and user activation for a modern financial data platform. The position involves collaborating across product, sales, and growth teams while managing content distribution, analytics, and conversion optimization initiatives in a fully remote environment. 🗂️ Requirements: Bachelor's degree, 2+ years of experience in marketing or communications, Strong copywriting, content strategy, or brand messaging experience, Portfolio of writing samples across multiple mediums, Experience marketing to technical audiences, Experience supporting product launches and conversion optimization, Experience with content and social distribution, Familiarity with CRM, dashboards, and funnel tracking, Familiarity with Canva or Figma 📃 Skills: CRM, Canva, Figma, Analytics, SEO, LinkedIn, Twitter 🏢 Description: The financial industry is growing at a record pace, but data providers are still limited by cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is a market data platform providing real-time and historical data across futures, options, and equities through a unified API. The platform combines high performance and reliability with a simplified developer experience. This is a junior-to-mid-level role focused on product marketing, positioning, messaging, and activation, with a strong emphasis on copywriting. You'll work across projects from concept through launch and execute directly. As part of a small, fast-growing team, the role offers opportunities to grow laterally and help shape the marketing function. Benefits - Health insurance - Dental insurance - Disability insurance - Life insurance - 401(k) matching for full-time employees - 100% remote work - Paid in local currency Responsibilities - Write and review landing pages, activation flows, and sales copy to drive engagement and conversion - Drive product marketing initiatives, including positioning, messaging, and launch campaigns - Plan and execute content and social distribution across blogs, LinkedIn, X/Twitter, and founder amplification - Collaborate with product, sales, and growth teams on experiments, campaigns, and activation strategies - Track and measure performance using analytics, dashboards, and CRM tools - Support cross-functional initiatives to optimize user acquisition, engagement, and conversion Requirements - Bachelor's degree - At least 2 years of experience in marketing or communications, with a strong emphasis on copywriting, content strategy, or brand messaging - Writing samples across mediums such as product and UX copy, landing pages, blog articles, SEO content, or social media - Experience marketing to technical audiences including engineers, finance professionals, and scientists - Experience supporting product launches, sales copy, experiments, activation flows, or conversion optimization - Experience creating content and social distribution across blogs, LinkedIn, X/Twitter, and founder amplification - Familiarity with marketing operations and analytics including CRM, dashboards, and funnel tracking - Familiarity with marketing design tools such as Canva and Figma Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, applications are encouraged.

🏢 Summary: The offer is for a Data Engineer role focused on designing, building, and optimizing scalable data platforms and pipelines in cloud environments. The position involves working with big data technologies, data warehousing solutions, and distributed processing frameworks across international projects. The role emphasizes high-quality delivery through automated testing, CI/CD, and close collaboration with business stakeholders. 🗂️ Requirements: Minimum 3 years of commercial programming experience, Experience with at least one cloud provider: GCP, Azure or AWS, Knowledge of JVM language (Scala or Java or Kotlin), Knowledge of Python, Knowledge of SQL, Experience with data warehousing solution: BigQuery or Snowflake or Databricks or similar, Understanding of big data concepts: storage, modeling, processing, scheduling, Experience in data modeling, Experience in data storage solutions, Experience with automated testing and CI/CD, Experience with code review practices, Experience in collaboration with business stakeholders, English proficiency at B2 level, Communicative Polish 📃 Skills: GCP, Azure, AWS, Scala, Java, Kotlin, Python, SQL, BigQuery, Snowflake, Databricks, Spark, Dataproc, CloudComposer, PubSub, Dataflow, Kafka, Airflow, Flink, Kubernetes, Docker, BigData, CI/CD, ETL 🏢 Description: We’re looking for a Data Engineer ready to push boundaries and grow with us. Datumo specializes in providing Data Engineering and Cloud Computing consulting services to clients from all over the world, primarily in Western Europe, Poland and the USA. Core industries we support include e-commerce 🛒, telecommunications 📡 and life sciences 🧬. Our team consists of exceptional people whose commitment allows us to conduct highly demanding projects. Our team members tend to stick around for more than 3 years, and when a project wraps up, we don't let them go - we embark on a journey to discover exciting new challenges for them. It's not just a workplace; it's a community that grows together! Must-have: ✅ at least 3 years of commercial experience in programming ✅ proven record with a selected cloud provider GCP (preferred), Azure or AWS ✅ good knowledge of JVM languages (Scala or Java or Kotlin), Python, SQL ✅ experience in one of data warehousing solutions: BigQuery/Snowflake/Databricks or similar ✅ in-depth understanding of big data aspects like data storage, modeling , processing , scheduling etc. ✅ data modeling and data storage experience ✅ ensuring solution quality through automatic tests, CI/CD and code review ✅ proven collaboration with businesses ✅ English proficiency at B2 level, communicative in Polish Nice to have: 🌟 knowledge of dbt, Docker and Kubernetes, Apache Kafka 🌟 familiarity with Apache Airflow or similar pipeline orchestrator 🌟 another JVM (Java/Scala/Kotlin) programming language 🌟 experience in Machine Learning projects 🌟 understanding of Apache Spark or similar distributed data processing framework 🌟 familiarity with one of BI tools: Power BI/Looker/Tableau 🌟 willingness to share knowledge (conferences, articles, open-source projects) What’s on offer: 🔥 100% remote work, with workation opportunity 🔥 20 free days 🔥 onboarding with a dedicated mentor 🔥 project switching possible after a certain period 🔥 individual budget for training and conferences 🔥 benefits: Medicover Private Medical Care , co-financing of the Medicover Sport card 🔥 opportunity to learn English with a native speaker 🔥 regular company trips and informal get-togethers Development opportunities in Datumo: 🚀 participation in industry conferences 🚀 establishing Datumo's online brand presence 🚀 support in obtaining certifications (e.g. GCP, Azure, Snowflake) 🚀 involvement in internal initiatives, like building technological roadmaps 🚀 training budget 🚀 access to internal technological training repositories Discover our exemplary project: 🔌 IoT data ingestion to cloud The project integrates data from edge devices into the cloud using Azure services. The platform supports data streaming via either the IoT Edge environment with Java or Python modules, or direct connection using Kafka protocol to Event Hubs. It also facilitates batch data transmission to ADLS. Data transformation from raw telemetry to structured tables is done through Spark jobs in Databricks or data connections and update policies in Azure Data Explorer. ☁️ Petabyte-scale data platform migration to Google Cloud The goal of the project is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is on rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client’s requirements and automate it using Cloud Composer. 📈 Data analytics platform for investing company The project centers on developing and overseeing a data platform for an asset management company focused on ESG investing. Databricks is the central component. The platform, built on Azure cloud, integrates various Azure services for diverse functionalities. The primary task involves implementing and extending complex ETL processes that enrich investment data, using Spark jobs in Scala. Integrations with external data providers, as well as solutions for improving data quality and optimizing cloud resources, have been implemented. 🛒 Realtime Consumer Data Platform The initiative involves constructing a consumer data platform (CDP) for a major Polish retail company. Datumo actively participates from the project’s start, contributing to planning the platform’s architecture. The CDP is built on Google Cloud Platform (GCP), utilizing services like Pub/Sub, Dataflow and BigQuery. Open-source tools, including a Kubernetes cluster with Apache Kafka, Apache Airflow and Apache Flink, are used to meet specific requirements. This combination offers significant possibilities for the platform. Recruitment process: 1️⃣Quiz - 15 minutes 2️⃣ Soft skills interview - 30 minutes 3️⃣ Technical interview - 60 minutes Find out more by visiting our website - https://www.datumo.io If you like what we do and you dream about creating this world with us - don’t wait, apply now!

🏢 Summary: The offer is for a Data Engineer responsible for building and optimizing scalable data platforms in cloud environments, mainly on Google Cloud Platform and Azure. The role focuses on designing big data solutions, developing ETL processes, and working with distributed data processing frameworks across international projects. It includes full remote work and opportunities for continuous technical development. 🗂️ Requirements: 3-4 years of commercial programming experience, Experience with Google Cloud Platform, Strong knowledge of Python, Strong knowledge of SQL, Strong knowledge of Scala or Java or Kotlin, Experience with BigQuery, Understanding of big data storage, modeling, processing and scheduling, Experience with Apache Spark or similar framework, Experience in data modeling and data storage, Experience with automated testing, CI/CD and code review, Experience collaborating with business stakeholders, English proficiency at minimum B2 level, Proficiency in Polish 📃 Skills: Python, SQL, Scala, Java, Kotlin, GCP, BigQuery, Spark, CI/CD, Git, Azure, Databricks, Kafka, Airflow, Docker, Kubernetes, dbt, PubSub, Dataflow, Flink 🏢 Description: We’re looking for a Data Engineer ready to push boundaries and grow with us. Datumo specializes in providing Data Engineering and Cloud Computing consulting services to clients from all over the world, primarily in Western Europe, Poland and the USA. Core industries we support include e-commerce 🛒, telecommunications 📡 and life sciences 🧬. Our team consists of exceptional people whose commitment allows us to conduct highly demanding projects. Our team members tend to stick around for more than 3 years, and when a project wraps up, we don't let them go - we embark on a journey to discover exciting new challenges for them. It's not just a workplace; it's a community that grows together! Must-have: ✅ at least 3-4 years of commercial experience in programming, ✅ proven record with a cloud provider - Google Cloud Platform, ✅ strong knowledge of Python, SQL and JVM languages (Scala or Java or Kotlin), ✅ experience in BigQuery data warehousing solution, ✅ in-depth understanding of big data aspects like data storage, modeling , processing , scheduling etc., ✅ understanding of Apache Spark (or similar distributed data processing framework), ✅ data modeling and data storage experience, ✅ ensuring solution quality through automatic tests, CI/CD and code review, ✅ proven collaboration with businesses, ✅ English proficiency at min. B2 level, proficient in Polish. Nice to have: 🌟 knowledge of dbt, Docker and Kubernetes, Apache Kafka, 🌟 familiarity with Apache Airflow or similar pipeline orchestrator, 🌟 another JVM (Java/Scala/Kotlin) programming language, 🌟 experience in Machine Learning projects, 🌟 familiarity with one of BI tools: Power BI/Looker/Tableau, 🌟 willingness to share knowledge (conferences, articles, open-source projects). What’s on offer: 🔥 100% remote work, with workation opportunity, 🔥 20 free days, 🔥 onboarding with a dedicated mentor, 🔥 project switching possible after a certain period, 🔥 individual budget for training and conferences, 🔥 benefits: Medicover Private Medical Care , co-financing of the Medicover Sport card, 🔥 opportunity to learn English with a native speaker, 🔥 regular company trips and informal get-togethers. Development opportunities in Datumo: 🚀 participation in industry conferences, 🚀 establishing Datumo's online brand presence, 🚀 support in obtaining certifications (e.g. GCP, Azure, Snowflake), 🚀 involvement in internal initiatives, like building technological roadmaps, 🚀 training budget, 🚀 access to internal technological training repositories. Discover our exemplary project: 🔌 IoT data ingestion to cloud The project integrates data from edge devices into the cloud using Azure services. The platform supports data streaming via either the IoT Edge environment with Java or Python modules, or direct connection using Kafka protocol to Event Hubs. It also facilitates batch data transmission to ADLS. Data transformation from raw telemetry to structured tables is done through Spark jobs in Databricks or data connections and update policies in Azure Data Explorer. ☁️ Petabyte-scale data platform migration to Google Cloud The goal of the project is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is on rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client’s requirements and automate it using Cloud Composer. 📈 Data analytics platform for investing company The project centers on developing and overseeing a data platform for an asset management company focused on ESG investing. Databricks is the central component. The platform, built on Azure cloud, integrates various Azure services for diverse functionalities. The primary task involves implementing and extending complex ETL processes that enrich investment data, using Spark jobs in Scala. Integrations with external data providers, as well as solutions for improving data quality and optimizing cloud resources, have been implemented. 🛒 Realtime Consumer Data Platform The initiative involves constructing a consumer data platform (CDP) for a major Polish retail company. Datumo actively participates from the project’s start, contributing to planning the platform’s architecture. The CDP is built on Google Cloud Platform (GCP), utilizing services like Pub/Sub, Dataflow and BigQuery. Open-source tools, including a Kubernetes cluster with Apache Kafka, Apache Airflow and Apache Flink, are used to meet specific requirements. This combination offers significant possibilities for the platform. Recruitment process: 1️⃣Tech quiz - 15 minutes 2️⃣ Soft skills interview - 30 minutes 3️⃣ Technical interview - 60 minutes Find out more by visiting our website - https://www.datumo.io If you like what we do and you dream about creating this world with us - don’t wait, apply now!

🏢 Summary: The role focuses on building and optimizing low-latency, high-performance systems for real-time market data processing and distribution within an investment banking environment. It involves developing C++ components, integrating external data sources, and creating Python-based APIs and data pipelines to ensure scalable and reliable access to critical financial data. The position emphasizes performance optimization, distributed systems, and real-time data engineering. 🗂️ Requirements: Strong experience in C++, Experience building high-performance, low-latency systems, Background in real-time or data-intensive environments, Experience with distributed systems, Experience with streaming data, Experience with system integrations and data workflows, Understanding of performance optimization, Experience with system-level engineering 📃 Skills: C++, Python, APIs, DistributedSystems, Streaming, LowLatency, MarketData, DataPipelines, PerformanceOptimization, Linux 🏢 Description: Senior Engineer C++ in investment banking Join a team building a high-performance platform for real-time market data processing and distribution. This role combines low-latency engineering with modern data solutions, supporting large-scale access to critical financial data across the organization. 🔹 What you’ll do Build and optimize low-latency systems for real-time data processing Integrate data from exchanges and external providers Develop APIs and data pipelines in Python Ensure data quality, reliability, and system performance Collaborate with engineering and infrastructure teams to scale solutions 🔹 What you bring Strong experience in C++ and building high-performance systems, preferably in investment banking Background in real-time or data-intensive environments Experience with distributed systems and streaming data Experience with integrations and data workflows Understanding of performance optimization and system-level engineering 🔹 Nice to have Cloud / containerization experience Knowledge of financial markets Familiarity with real-time monitoring tools

🏢 Summary: The offer is for a Data Engineer responsible for designing and developing scalable data platforms and pipelines in cloud environments, primarily on Google Cloud Platform. The role focuses on big data processing, data modeling, and building high-quality data solutions using modern distributed frameworks. The position involves working on advanced cloud-based analytics and data warehousing projects. 🗂️ Requirements: 3-4 years commercial programming experience, Experience with Google Cloud Platform, Strong knowledge of Python, Strong knowledge of SQL, Proficiency in JVM language (Scala or Java or Kotlin), Experience with BigQuery, Understanding of big data processing and storage, Experience with Apache Spark or similar framework, Experience in data modeling, Experience with CI/CD pipelines, Experience with automated testing, Experience with code review practices 📃 Skills: Python, SQL, Scala, Java, Kotlin, GCP, BigQuery, Spark, JVM, BigData, DataModeling, CICD, Testing, CodeReview 🏢 Description: We’re looking for a Data Engineer ready to push boundaries and grow with us. Datumo specializes in providing Data Engineering and Cloud Computing consulting services to clients from all over the world, primarily in Western Europe, Poland and the USA. Core industries we support include e-commerce 🛒, telecommunications 📡 and life sciences 🧬. Our team consists of exceptional people whose commitment allows us to conduct highly demanding projects. Our team members tend to stick around for more than 3 years, and when a project wraps up, we don't let them go - we embark on a journey to discover exciting new challenges for them. It's not just a workplace; it's a community that grows together! Must-have: ✅ at least 3-4 years of commercial experience in programming, ✅ proven record with a cloud provider - Google Cloud Platform, ✅ strong knowledge of Python, SQL and JVM languages (Scala or Java or Kotlin), ✅ experience in BigQuery data warehousing solution, ✅ in-depth understanding of big data aspects like data storage, modeling , processing , scheduling etc., ✅ understanding of Apache Spark (or similar distributed data processing framework), ✅ data modeling and data storage experience, ✅ ensuring solution quality through automatic tests, CI/CD and code review, ✅ proven collaboration with businesses, ✅ English proficiency at min. B2 level, proficient in Polish. Nice to have: 🌟 knowledge of dbt, Docker and Kubernetes, Apache Kafka, 🌟 familiarity with Apache Airflow or similar pipeline orchestrator, 🌟 another JVM (Java/Scala/Kotlin) programming language, 🌟 experience in Machine Learning projects, 🌟 familiarity with one of BI tools: Power BI/Looker/Tableau, 🌟 willingness to share knowledge (conferences, articles, open-source projects). What’s on offer: 🔥 100% remote work with workation opportunity (you need to be based in Poland), 🔥 20 free days, 🔥 onboarding with a dedicated mentor, 🔥 project switching possible after a certain period, 🔥 individual budget for training and conferences, 🔥 benefits: Medicover Private Medical Care , co-financing of the Medicover Sport card, 🔥 opportunity to learn English with a native speaker, 🔥 regular company trips and informal get-togethers. Development opportunities in Datumo: 🚀 participation in industry conferences, 🚀 establishing Datumo's online brand presence, 🚀 support in obtaining certifications (e.g. GCP, Azure, Snowflake), 🚀 involvement in internal initiatives, like building technological roadmaps, 🚀 training budget, 🚀 access to internal technological training repositories. Discover our exemplary project: 🔌 IoT data ingestion to cloud The project integrates data from edge devices into the cloud using Azure services. The platform supports data streaming via either the IoT Edge environment with Java or Python modules, or direct connection using Kafka protocol to Event Hubs. It also facilitates batch data transmission to ADLS. Data transformation from raw telemetry to structured tables is done through Spark jobs in Databricks or data connections and update policies in Azure Data Explorer. ☁️ Petabyte-scale data platform migration to Google Cloud The goal of the project is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is on rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client’s requirements and automate it using Cloud Composer. 📈 Data analytics platform for investing company The project centers on developing and overseeing a data platform for an asset management company focused on ESG investing. Databricks is the central component. The platform, built on Azure cloud, integrates various Azure services for diverse functionalities. The primary task involves implementing and extending complex ETL processes that enrich investment data, using Spark jobs in Scala. Integrations with external data providers, as well as solutions for improving data quality and optimizing cloud resources, have been implemented. 🛒 Realtime Consumer Data Platform The initiative involves constructing a consumer data platform (CDP) for a major Polish retail company. Datumo actively participates from the project’s start, contributing to planning the platform’s architecture. The CDP is built on Google Cloud Platform (GCP), utilizing services like Pub/Sub, Dataflow and BigQuery. Open-source tools, including a Kubernetes cluster with Apache Kafka, Apache Airflow and Apache Flink, are used to meet specific requirements. This combination offers significant possibilities for the platform. Recruitment process: 1️⃣Tech quiz - 15 minutes 2️⃣ Soft skills interview - 30 minutes 3️⃣ Technical interview - 60 minutes Find out more by visiting our website - https://www.datumo.io If you like what we do and you dream about creating this world with us - don’t wait, apply now!

🏢 Summary: Senior C++ Developer role focused on building and maintaining real-time backend systems for a fixed-income trading platform in the fintech domain. The position involves developing mission-critical trading applications used by major financial institutions, with full remote work and B2B contract terms. The work covers the full development lifecycle of high-performance trading systems on Windows and Linux. 🗂️ Requirements: 5+ years of professional C++ experience, Strong knowledge of OOP, Knowledge of design patterns, Experience with templates, Experience with multithreading, Strong understanding of data structures, Experience with SQL and databases, Proficiency with Git, Ability to work with Windows and Linux environments, Availability with 6h overlap with New York hours 📃 Skills: C++, OOP, DesignPatterns, Templates, Multithreading, DataStructures, SQL, Databases, Git, Windows, Linux, VisualStudio, Python, Perl, Shell, CommunicationProtocols 🏢 Description: Join our client’s team in the fintech industry , building a cutting-edge fixed-income trading platform. The role focuses on Treasury and Mortgage trading product groups – two of the most liquid asset classes worldwide. This is a unique opportunity to work on mission-critical systems used by leading Investment Banks, Asset Managers, and Hedge Funds . 📌 C++ Developer – Real-Time Trading Applications (Windows/Linux) Key Information 📍 Work mode: 100% Remote 🕒 Contract type: B2B 💼 Experience level: Senior ⏰ Availability: Minimum 6h overlap with New York working hours Tech Stack C++ (OOP, Data Structures, Templates, Multithreading) SQL, Databases Version Control (GIT) Nice to have: Python, Perl, Shell Scripting 🔹 Job Responsibilities Develop and maintain backend servers in C++ for real-time trading applications Work across all phases of the project lifecycle Collaborate with business teams to deliver client-focused solutions Cooperate with QA and support teams to resolve issues ✅ Requirements 5+ years of professional C++ development experience Strong knowledge of OOP, design patterns, templates, multithreading, data structures Experience with databases and SQL Proficiency with GIT Strong analytical and problem-solving skills Excellent communication skills and ability to work independently 🌟 Nice to Have Experience with Visual Studio (Windows) Financial background, especially Fixed Income Knowledge of Perl, Python, Shell scripting Understanding of communication protocols 💰 Offer B2B contract 50–65 USD/hour 100% remote work 🔎 Recruitment Process Initial call Technical verification Client interviews

🏢 Summary: Senior C++ Developer role focused on building and maintaining real-time backend systems for a fixed-income trading platform in the fintech domain. The position involves developing mission-critical trading applications for Treasury and Mortgage products used by major financial institutions. Work is fully remote on a B2B contract with overlap with New York hours. 🗂️ Requirements: 5+ years of professional C++ development experience, Strong knowledge of OOP, Strong knowledge of design patterns, Strong knowledge of templates, Strong knowledge of multithreading, Strong knowledge of data structures, Experience with SQL and databases, Proficiency with GIT, Ability to work with real-time backend systems, Minimum 6-hour overlap with New York working hours 📃 Skills: C++, OOP, SQL, Databases, GIT, Multithreading, Templates, DataStructures 🏢 Description: Join our client’s team in the fintech industry , building a cutting-edge fixed-income trading platform. The role focuses on Treasury and Mortgage trading product groups – two of the most liquid asset classes worldwide. This is a unique opportunity to work on mission-critical systems used by leading Investment Banks, Asset Managers, and Hedge Funds . 📌 C++ Developer – Real-Time Trading Applications (Windows/Linux) Key Information 📍 Work mode: 100% Remote 🕒 Contract type: B2B 💼 Experience level: Senior ⏰ Availability: Minimum 6h overlap with New York working hours Tech Stack C++ (OOP, Data Structures, Templates, Multithreading) SQL, Databases Version Control (GIT) Nice to have: Python, Perl, Shell Scripting 🔹 Job Responsibilities Develop and maintain backend servers in C++ for real-time trading applications Work across all phases of the project lifecycle Collaborate with business teams to deliver client-focused solutions Cooperate with QA and support teams to resolve issues ✅ Requirements 5+ years of professional C++ development experience Strong knowledge of OOP, design patterns, templates, multithreading, data structures Experience with databases and SQL Proficiency with GIT Strong analytical and problem-solving skills Excellent communication skills and ability to work independently 🌟 Nice to Have Experience with Visual Studio (Windows) Financial background, especially Fixed Income Knowledge of Perl, Python, Shell scripting Understanding of communication protocols 💰 Offer B2B contract 50–65 USD/hour 100% remote work 🔎 Recruitment Process Initial call Technical verification Client interviews

🏢 Summary: The offer is for a backend engineer role focused on building and optimizing distributed infrastructure services for large-scale pricing and risk calculations in the financial domain. The position involves developing and maintaining C++ and Python services, supporting high-throughput and low-latency analytics, and ensuring reliability in a complex distributed system. The role includes working with containerized environments on Linux and Kubernetes, using modern CI/CD and messaging solutions. 🗂️ Requirements: Good knowledge of C++, Experience working in Linux environment, Proficiency in Python, Experience with Git, Familiarity with RESTful applications, Familiarity with containerization technologies, Familiarity with Kubernetes 📃 Skills: C++, Python, Linux, Kubernetes, Docker, Git, REST, SQL, SQLServer, Solace, Jenkins, GitHub, Jira 🏢 Description: Project description: Our team develops and evolves infrastructure services that orchestrate large-scale analytic price and risk computations across a wide range of financial instruments. These calculations are distributed over thousands of computation engines, enabling both high-throughput End-of-Day batch processing and low-latency intraday streaming analytics. The core analytic engine is implemented in C++, while the surrounding orchestration services are written in Java (legacy) and Python. We’re transitioning our environment from Windows-based virtual machines to containerized deployments on Kubernetes and Linux. Communication between services is primarily handled via Solace messaging and REST APIs. A major focus of our work is ensuring reliability and performance in a complex distributed system- including extensive debugging, monitoring, and log analysis to identify and resolve issues across multiple services and environments. Industry : Finance Location : Kraków / Hybrid/ Remote from Poland Your daily work will include: Building and optimizing services for pricing and risk calculation Designing, developing, and maintaining backend services in C++ and Python Participating in code reviews, discussing technical improvements, and sharing best practices Collaborating with developers across Poland, UK and Canada Working with SQL Server, Linux, and Solace (Pub/Sub model) Using GitHub, Jira, and Jenkins for CI/CD and task management Team & Collaboration 3 (Montrose) + 3 on the client’s side, including developers (4) and QAs (2) Regular meetings: daily standups biweekly sprint planning biweekly retrospective biweekly developer catchup call 4 short biweekly backlog refinement sessions Communication via email and Webex chat Working hours: usually 9:30–17:30 CET Qualifications: Good knowledge of C++ Linux environment Python Git Familiar with RESTful applications Familiar with containerization and Kubernetes Nice to have: Fintech experience Strong software engineering or math background Microsoft SQL use AI agents for development( ( e.g. Microsoft Copilot) Please note that the interview process is divided into four parts: Technical phone screening (~30 minutes) Technical interview (~2 hours) Non-technical call with HR team (~30 minutes) Call with client for which you will be working Perks, Snacks & Everything Nice :) Work Environment & Flexibility Top-quality equipment to support your work Flexible working hours Remote work option Exciting and challenging projects with international teams Learning & Development English lessons with a native speaker Dedicated training budget for personal and professional growth Health & Well-being Private medical insurance Multisport card Air-conditioned workspace Showers available at the office Food & Comfort Lunches from Kraków’s top restaurants delivered to the office or a refund of the budget allocated for it Fully stocked kitchen with drinks, fruit, and snacks Lifestyle & Fun No dress code — dress comfortably Chillout area with bean bags, therapy balls, PlayStation 4, Nintendo Switch 2 + games, stretching area, and pull-up bar Regular team events Additional Perks Indoor bicycle parking Wyrażam zgodę na przetwarzanie moich danych osobowych przez Montrose Software zgodnie z Polityką Prywatności . English Version: I consent to Montrose Software processing my personal data according to the Privacy Policy Zapoznałem sie z Polityka Ochrony Sygnalistów Montrose Software. English Version: I consent to the Montrose Software Whistleblower Protection Policy.

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to improve performance and scalability of global data systems. It is a hands-on role working with large-scale data pipelines, streaming, and cloud environments. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills in Python, Java, or Kotlin, Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven architectures or streaming systems, Understanding of end-to-end data flow and data modeling, Experience designing scalable and reliable data systems, Experience with infrastructure automation tools 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .