{"id":3736504,"url":"https://alion.io/job/jit-team-apple-data-engineer","title":"Apple - Data Engineer","company":{"id":53531,"name":"Jit Team","domain":"jit-team.com","url":"https://alion.io/company/jit-team","size_band":"5000+","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"B","score":80,"open_postings":41,"ghost_share":0,"stale_share":0.78,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":300,"max":363,"currency":"PLN","period":"hour","gross":null,"usd_annual":184000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Flink","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Akka","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"Rest API","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-04T09:35:55Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T00:33:45Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Salary: 750-900 SEK / HOUR (300-360 PLN/H) on B2B\nWork model: Hybrid (3 days/week from the office in Malmö, Sweden). During the first 3 months, commuting is possible, but relocation to Sweden will be required afterwards.\nWhy choose this offer?\nOpportunity to work on globally used web and developer platforms\n\nDirect impact on frontend architecture, APIs, and developer-facing solutions\n\nCollaboration withinternational, cross-functional engineering and product teams\n\nWork on large-scale mapping and location-based technologies used worldwide\n\nProject\nWe are looking for a Data Engineer to join a team responsible for building modern data solutions used across the organization. In this role, you will work with large-scale data processing technologies, contribute to backend services enabling data access, and help drive technical improvements in a fast-paced, collaborative environment. You will have a high level of ownership and the opportunity to influence both technical decisions and the future direction of the platform.\nResponsibilities you'll have\nBuild and maintain data pipelines using Spark and Flink\nDesign, develop and improve data solutions utilized across multiple teams\nProvide technical guidance and support on data engineering topics\nDevelop scalable backend APIs that enable efficient access to data\nContribute to architectural improvements and technical initiatives\nCollaborate closely with engineers, analysts and stakeholders\nEnsure high performance, reliability and scalability of data solutions\nParticipate in code reviews and knowledge-sharing activities\nExpected competences and knowledge\nMinimum 5 years of commercial experience as a Data Engineer or in a similar role\nStrong Python skills\nStrong Java or Scala programming skills\nSolid backend development experience\nStrong software engineering fundamentals\nBachelor's degree in Computer Science, Engineering or a related field\nExcellent English communication skills\nAbility to work on-site at the client's office in Malmö 3 days per week\nNice to have\nExperience with Spark, Flink, Kafka, Snowflake, or Apache Iceberg\nExperience building and operating microservices on Kubernetes\nKnowledge of Akka and distributed systems\nFamiliarity with Grafana and observability practices\nInterest or hands-on experience in Machine Learning\nMaster's degree in a relevant technical field\nTechnologies you'll work with\nPython\n\nJava / Scala\n\nApache Spark\n\nApache Flink\n\nREST APIs\n\nKubernetes\n\nKafka\n\nSnowflake\n\nApache Iceberg\n\nAkka\n\nGrafana\n\nMachine Learning\n\nClient - why choose this particular client from the Jit portfolio?\nOur client is a global technology company known for building innovative digital products and delivering exceptional user experiences at scale. The organization creates solutions used daily by millions of users around the world and invests heavily in engineering excellence, product innovation, and modern technologies. This project offers the opportunity to work on highly impactful developer-facing platforms while collaborating with experienced international teams. It is an ideal environment for engineers who enjoy solving complex technical challenges and contributing to products with global reach.\nAbout Jit Team\nThe 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 770 experienced experts, to whom we offer developmental projects, a wide range of benefits, and a proprietary professional development programme. Together with clients from around the world, we create innovative IT solutions delivered by highly specialised and efficient teams.\nBehind our maxim are also charitable and educational activities. We support schools, universities, and educational institutions by conducting workshops, running educational projects, sponsoring events, and donating learning equipment. We offer internships that help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We also support numerous charitable organisations helping people in need, children, and the elderly. We are a Polish company and we share what we have achieved over more than 15 years of activity. 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