Scala/Spark Developer

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

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

🏢 Summary: Short-term onsite assignment in Malmö focused on modernizing and migrating Java/Scala backend services and data pipelines, including JDK, Scala, and Play Framework upgrades, OAuth migration, and Spark-based data consolidation. The role involves heavy hands-on backend work, GenAI-assisted code transformation, and authentication redesign across multiple services. Ideal for engineers who can quickly adapt, work with legacy systems, and deliver production-ready upgrades within a tight timeframe. 🗂️ Requirements: Hands-on experience with production Java services, Hands-on experience with production Scala services, Familiarity with Play Framework internals, Experience with Apache Spark for data pipelines, Experience with OAuth-based authentication, Ability to upgrade and migrate legacy backend systems, Experience using GenAI tools (e.g., Claude Code) in daily development work, Availability for onsite work in Malmö, Ability to start ASAP and commit until 30th of September 📃 Skills: Java, Scala, Play, Spark, OAuth, React, TypeScript, Gradle, CI/CD, JDK, GenAI 🏢 Description: What we're looking for • Hands-on experience with production Java/Scala services • Familiarity with the Play Framework internals • Spark experience for pipeline-heavy work • Comfortable with OAuth-based authentication patterns • React/TypeScript familiarity is a plus • For DevOps-leaning candidates: experience with build systems (Gradle), scripting, and CI/CD pipelines Example of work tasks • Modernise backend services and pipelines: upgrade to latest JDK, Scala 3.x, and Play Framework 3.x • Apply GenAI tooling throughout to automate code transformations, dependency resolution, and compatibility fixes — producing reusable tools, prompts, and a documented runbook • Migrate authentication across a large number of backend services from a legacy API to an OAuth-based solution. • Replace per-unit data stores with a single versioned table: build Spark/Java batch pipelines for backfill/migration and extend Scala/Play backends As it is a short term assignment, these skills are important, as it is crucial to quick come up to speed and be open to changes in work tasks during these months: * Learning agility — Willing to pick up new technology, work with legacy code, and adapt quickly * Communication — Easy to talk to, take feedback without defensiveness. * Problem-solving clarity — Explain their thinking, ask clarifying questions * Hands-on experience using Claude Code or similar GenAI tool in day-to-day work. Start date: ASAP End date: 30th of September Location: Malmö (onsite work)

🏢 Summary: The offer is for a Senior Scala Engineer to design and evolve a high-performance aggregate system that optimizes query workloads across modern cloud data platforms. The role focuses on architecting intelligent prediction and selection logic, improving system scalability, and ensuring reliability in large-scale environments. You will work on accelerating business intelligence through advanced lifecycle and performance engineering. 🗂️ Requirements: 6+ years of professional software engineering experience, BA/BS in Computer Science or related field, Strong expertise in Scala, Experience with Akka or Pekko, Experience with data warehouse concepts, Experience with Docker and Kubernetes, Ability to design and optimize high-scale distributed systems, Ability to analyze system performance and trade-offs, Availability to work in Eastern/Central European Time hours 📃 Skills: Scala, Akka, Pekko, Snowflake, BigQuery, Databricks, Docker, Kubernetes 🏢 Description: Our customer is the semantic layer for modern data and AI. They bridge the gap between complex cloud data platforms—like Snowflake, Databricks, and Google BigQuery—and the business users who need consistent, AI-ready analytics. We are looking for a Senior Scala Engineer to join the Aggregates Engineering Team to help redefine how the world handles business intelligence. Responsibilities: Architect the Core Lifecycle: Design, build, and evolve the aggregate system that defines, manages, and optimizes aggregates to accelerate query performance across data platforms. Optimize Intelligent Performance: Architect the prediction and selection logic that identifies high-value aggregates and analyze query workloads to guide placement strategies. Scale High-Impact Systems: Improve maintenance and scheduling processes to ensure reliability and low overhead in large-scale environments, ensuring the system scales smoothly. Requirements: 6+ years of professional software engineering experience and a BA/BS in Computer Science or a related field. Strong programming expertise in Scala and ideally have experience with Scala worker systems like Akka or Pekko. You can reason about complex system behavior, lifecycle state, and performance tradeoffs while maintaining a focus on production reliability. Experience with data warehouse concepts (Snowflake, BigQuery, etc.) and containerization technologies (Docker, Kubernetes). Excellent communication skills and are comfortable working across query planning and platform teams. You are based in or able to work Eastern/Central European Time hours.

🏢 Summary: Remote B2B role focused on building and expanding a large-scale analytical and operational data ecosystem delivering campaign performance insights and investment decision support. The position involves developing high-throughput data pipelines, reporting engines, and attribution systems using a modern cloud-based stack. You will work on production-grade data models and scalable systems supporting millions of users. 🗂️ Requirements: Minimum 3 years commercial experience with Java or Kotlin or Scala, Experience with distributed data pipelines, Experience with data processing and analytics systems, Knowledge of GCP cloud environment, Experience with large-scale data systems, Understanding of microservices architecture, Understanding of event-driven systems, Knowledge of data modeling, Willingness to participate in on-call duties, Availability for monthly visits to Warsaw 📃 Skills: Java, Kotlin, Scala, GCP, BigQuery, PostgreSQL, Airflow, Composer, Spark, Spring, Kafka, Microservices, Avro, Terraform, Analytics, DataModeling 🏢 Description: Salary: 600-960 pln/md on B2B Work mode: Remote (with visits to Warsaw once a month and w illingness to participate in on-call duties) Why choose this offer? Work on a high-impact data ecosystem Exposure to large-scale data processing , advanced analytics, and production-grade data models Modern tech stack (GCP, Spark, Airflow, Kafka, microservices) Project Development and expansion of an advanced analytical and operational ecosystem . The project focuses on delivering precise campaign performance data (Insights & Performance) and building tools that support large-scale investment decision-making. It includes creating reliable reporting systems, data attribution models, and scalable data pipelines, ensuring high-quality data availability for professional users. Expected competences and knowledge At least 3 years of commercial experience with Java / Kotlin / Scala Solid understanding of data processing and analytics systems Experience with distributed data pipelines and orchestration tools Knowledge of GCP cloud environment Experience working with large-scale data systems (e.g. BigQuery, Spark) Familiarity with microservices architecture and event-driven systems Understanding of data modeling and data productionization Nice to have Knowledge of Apache ecosystem, Avro, Terraform Responsibilities you’ll have Designing and developing reporting engines and attribution systems (Insights & Performance) Building and maintaining high-throughput data pipelines Collaborating with Data Science teams to productionize advanced data models Ensuring scalability, reliability, and performance of data systems Developing internal tools (bulk management, agency panels, RBAC systems) Supporting complex account structures and permissions management Willingness to participate in on-call duties Technologies you'll work with Java / Kotlin / Scala GCP (BigQuery) PostgreSQL Apache Airflow / Composer Apache Spark Spring Boot Kafka Microservices architecture Apache, Avro, Terraform Client – why choose this particular client from the Jit portfolio? Our Client dominates the Polish e-commerce arena as the market leader since 1999 . With a user base of over 20 million and growing, this well-established platform is at the forefront of e-commerce, constantly striving for growth through market expansion and investment. As a major player in technology, our Client boasts a talented IT team of over 1,000 employees who focus on developing their own cutting-edge technologies. Jit Team has had a successful partnership with our Client since spring 2021 , with multiple software development teams dedicated to our Client's platforms. These teams operate autonomously, designing platform components through micro-services. Working with our Client offers a chance to contribute to a solution used by millions on a daily basis and to tackle the challenge of delivering software at a massive scale , where even a single second of delay can have a significant impact. This project provides a unique opportunity to work with state-of-the-art technologies and tools, making it a rare and valuable experience. About Jit Team The Human factor of IT - it's not just a slogan, it's a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 700 experienced experts . We create highly specialised teams for clients from all over the world. We offer team members developmental projects, a wide range of benefits and a proprietary professional development programme. Behind our maxim are also charitable and educational activities. We support pupils and students by donating learning equipment. We offer internships to help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We are a Polish company and we share what we have achieved over 15 years of activity . By supporting indigenous initiatives, we ensure the circulation of good energy.

🏢 Summary: Full-time hybrid Backend Developer contract focused on modernizing backend services, migrating authentication systems to OAuth, and building Spark-based data migration pipelines. The role involves upgrading Java/Scala ecosystems, automating transformations with GenAI tooling, and extending Scala/Play Framework backends in an English-speaking international environment. 🗂️ Requirements: Production experience with Java, Production experience with Scala, Knowledge of Play Framework internals, Experience with Spark, Knowledge of OAuth authentication patterns, Availability for hybrid work in Krakow, English proficiency 📃 Skills: Java, Scala, Play, Spark, OAuth, GenAI, React, TypeScript, Gradle, CI/CD 🏢 Description: Industry: Technology solutions - consumer electronics, software, streaming Client: global enterprise, Swedish entity Work model: full time, hybrid 3 days/week on-site fromKrakow (Equal Business Park) office Project language: English Onboarding : 3 days in Malmo, Sweden Start: ASAP or 1 week notice ideally / at latest start 27th July 2026 Assignment type: B2B Remuneration: up to 200 PLN/h net + VAT FTE: full-time Summary: The Backend Developer role is aimed at enhancing and modernizing backend services and pipelines within the organization. This position primarily focuses on improving system performance, ensuring robust authentication mechanisms, and implementing automation to streamline processes. Main Responsibilities: Modernise backend services and pipelines by upgrading to the latest JDK, Scala 3.x, and Play Framework 3.x. Apply GenAI tooling to automate code transformations, dependency resolution, and compatibility fixes, producing reusable tools and documentation. Migrate authentication frameworks from legacy APIs to OAuth-based solutions across various backend services. Replace multiple data stores with a single versioned table, creating Spark/Java batch pipelines for backfill/migration and extending Scala/Play backends. Key Requirements: Hands-on experience with production Java/Scala services . Familiarity with Play Framework internals or Akka. Experience with Spark for pipeline-heavy work. Comfortable with OAuth-based authentication patterns. Nice to Have: Familiarity with React/TypeScript. For DevOps-leaning candidates: experience with Gradle, scripting, and CI/CD pipelines.

🏢 Summary: The offer is for a backend-focused engineer working on modernising Java/Scala services and data pipelines, upgrading core frameworks, and migrating authentication to OAuth. The role involves heavy work with Spark-based batch pipelines and Play Framework services, with opportunities to apply GenAI tooling for large-scale code transformations. DevOps experience with build systems and CI/CD is an advantage. 🗂️ Requirements: Hands-on experience with production Java services, Hands-on experience with production Scala services, Familiarity with Play Framework internals, Experience with Spark for data pipelines, Experience with OAuth-based authentication patterns, Ability to modernise and upgrade JDK, Scala, and Play Framework versions, Experience building batch data migration pipelines, Experience extending and maintaining backend services 📃 Skills: Java, Scala, Play, Spark, OAuth, React, TypeScript, Gradle, CI/CD, JDK, GenAI 🏢 Description: What we're looking for • Hands-on experience with production Java/Scala services • Familiarity with the Play Framework internals • Spark experience for pipeline-heavy work • Comfortable with OAuth-based authentication patterns • React/TypeScript familiarity is a plus • For DevOps-leaning candidates: experience with build systems (Gradle), scripting, and CI/CD pipelines Example of work tasks • Modernise backend services and pipelines: upgrade to latest JDK, Scala 3.x, and Play Framework 3.x • Apply GenAI tooling throughout to automate code transformations, dependency resolution, and compatibility fixes — producing reusable tools, prompts, and a documented runbook • Migrate authentication across a large number of backend services from a legacy API to an OAuth-based solution. • Replace per-unit data stores with a single versioned table: build Spark/ Java batch pipelines for backfill/migration and extend Scala/Play backends

🏢 Summary: Senior Scala Developer role on a global fintech project focused on post-trade automation and large-scale financial systems. The position involves building real-time data streaming and mission-critical services using Scala and modern reactive technologies in a fully remote setup. You will collaborate with an international engineering team on systems used by major financial institutions worldwide. 🗂️ Requirements: 4+ years commercial experience with Scala, Strong knowledge of Akka Actors, Strong knowledge of Akka Streams, Hands-on production experience with ZIO, Practical experience with Apache Kafka, Experience with distributed systems, Experience testing asynchronous applications, Experience with AWS or cloud environments, Fluent English 📃 Skills: Scala, Akka, ZIO, Kafka, Slick, PostgreSQL, AWS, EC2, S3, SQS, SNS 🏢 Description: 🚀 Senior Scala Developer We are looking for a Senior Scala Developer to join a globally recognized fintech project focused on post-trade automation and large-scale financial systems. Our client is a London-based technology company trusted by more than 180 financial institutions worldwide, including 25 of the 30 globally systemically important banks (G-SIBs). You’ll have the opportunity to work on mission-critical systems used across the global financial market — all while enjoying the flexibility of fully remote work. 💻 Your responsibilities: • Designing and implementing real-time financial data streaming components • Building and maintaining services based on Akka (Actors, Streams, HTTP) • Developing Kafka consumers with proper offset handling and advanced error management • Working with Slick and PostgreSQL (schema modeling, queries, migrations) • Writing unit and integration tests, especially for asynchronous code • Collaborating directly with the client’s engineering team in London 🛠 Tech Stack: • Scala • Akka (Actors, Streams, HTTP) • ZIO • Apache Kafka • Slick / PostgreSQL • AWS (EC2, S3, SQS/SNS) ✅ What we expect: • 4–5+ years of commercial Scala experience • Strong knowledge of Akka Actors & Akka Streams • Hands-on experience with ZIO in production environments • Practical experience with Apache Kafka and distributed systems • Experience with testing asynchronous applications • Knowledge of AWS/cloud environments • Fluent English communication skills ⚡ Recruitment Process (Fast Track): HR Screening Internal Technical Interview Client Technical Interview Final Client Meeting 🌍 Why is it worth joining? • Long-term and stable fintech engagement • Real impact on systems supporting the global financial market • International engineering environment with modern technologies

🏢 Summary: Senior Data Engineer role in the banking sector focused on building scalable Big Data solutions supporting Financial Crime Prevention processes. The position involves developing distributed data pipelines and streaming applications using Spark and Scala in a Continuous Delivery environment. It is a long-term hybrid project with an immediate start. 🗂️ Requirements: Senior-level experience in Big Data and ETL, Senior-level Scala proficiency, Senior-level Spark and Spark SQL expertise, Strong SQL knowledge, Experience with Data Testing, Practical experience with distributed large-scale data systems 📃 Skills: Scala, Spark, SparkSQL, SQL, ETL, BigData, DataTesting 🏢 Description: 📍 Location: Gdańsk / Gdynia / Warsaw (hybrid) 🚀 Start: ASAP 💶 Rate: 35–45 EUR/h About the role We are looking for a Senior Data Engineer to work on a long-term project for a leading client in the banking industry . In this role, you will implement complex data requirements and build scalable solutions that support the client’s Financial Crime Prevention processes . Responsibilities Build distributed Big Data processing pipelines handling large volumes of structured and unstructured data in near real-time Develop streaming applications connecting multiple internal and external data sources Transform and enrich data with Apache Spark for analytics, visualization, and search Deliver clean, high-quality datasets for downstream systems Work closely with DevOps, QA, and Product teams in a Continuous Delivery environment Requirements Experience with Big Data / ETL / SQL / Data Testing (Senior level) Senior-level Scala Senior-level Spark and Spark SQL Practical experience with distributed, large-scale data systems Recruitment process First interview: Conversation with our Talent Team Technical interview: Discussion with one of our developers Final interview: Meeting with the CTO

🏢 Summary: Senior Java Software Engineer role focused on architecting and developing scalable SaaS applications for AI-powered data analysis and compliance platforms. The position involves leading technical design, driving best practices, and improving CI/CD and platform quality. The engineer will work across the stack, aligning technical solutions with business needs and ensuring high software quality. 🗂️ Requirements: 5+ years of professional software development experience, 2+ years of experience delivering SaaS products, Proficiency in Java and at least one other language (Python or C#), Strong knowledge of algorithms, data structures, and computational complexity, Experience leading technical design and guiding development teams, Hands-on experience with at least two DevOps platforms: GitHub, Azure DevOps, GitLab, or Jenkins, Experience with CI/CD tooling and developer productivity practices, Ability to design technical solutions from specifications, Experience implementing redundancy and disaster recovery scenarios 📃 Skills: Java, Python, C#, SaaS, Algorithms, DataStructures, GitHub, AzureDevOps, GitLab, Jenkins, CICD, DevOps 🏢 Description: Position: Senior Java Software Engineer Salary: up to 26 000 PLN Form of employment: contract of employment Join our client, which makes software to help users organize data, discover the truth, and act on it. Their SaaS product manages large volumes of data and quickly identifies key issues during litigation and internal investigations. The AI-powered communication surveillance product proactively detects regulatory misconduct like insider trading, collusion, and other non-compliant behavior. They have more than 300,000 users in 49 countries serving thousands of organizations globally. Responsibilities: Architect, design, and develop model-based applications Guide product improvements across schema, framework, and platform Lead the team to best-practice technical design, by example and through collaboration Understand department-wide initiatives and guidelines, work with teams to ensure implementation is aligned with Engineering-wide policies and direction Maintain a backlog of tools or technology enhancements to improve the maintainability and quality of the solutions Encourage teams to work collaboratively by advising and enforcing best practices when needed Stay up-to-date with technologies and best practices related to CI/CD tooling and developer productivity Qualifications: 2+ years of professional experience delivering successful SaaS products. 5+ years of professional experience in software development Strong computer science fundamentals in algorithms, data structures, and computational complexity A self-starter driven to make an impact Strong communication skills, experience leading teams Proficiency in multiple programming languages, e.g, Java, Python, C# Able to learn at multiple levels of the stack – from fine-grained technical implementation to high-level control and data-flow. Comfortable working from Specifications to create a Technical Approach and scoping work Able to consider the Engineering solution in the business context Obsession with software quality and empathy for customer experience In-depth technical understanding and experience with at least two of the following DevOps Platforms: GitHub, Azure DevOps, GitLab, and Jenkins Experience implementing redundancy and disaster recovery scenarios Nice to have: Experience building AI-powered products that use Natural Language Processing or Machine Learning Knowledge of Linux Knowledge of NoSQL database systems such as MongoDB, Redis, and Elasticsearch Fundamental knowledge of Kubernetes and container-based systems Benefits: Comprehensive health, dental, and vision plans Parental leave for primary and secondary caregivers Flexible work arrangements Two, week-long company breaks per year Additional time off Long-term incentive program Training investment program