{"schemaVersion":"jobsearcher.job.v1","id":"46ee5bb067dd0ab99aa7ae5f","url":"https://jobsearcher.com/jobs/46ee5bb067dd0ab99aa7ae5f","canonicalUrl":"https://jobsearcher.com/jobs/46ee5bb067dd0ab99aa7ae5f","title":"Data Analytics Engineer","description":"Job Description Swisslinx is supporting a prestigious international financial institution in Basel in the search for an experienced Data Analytics Engineer to join a major data transformation programme.\nDesign, develop and maintain scalable end‑to‑end data pipelines and data products.\nBuild robust ETL/ELT solutions for data warehouse and data lake/lakehouse environments.\nCollaborate with business analysts and stakeholders to gather, refine and translate requirements into technical solutions.\nDevelop high‑quality, maintainable code using modern software engineering practices.\nContribute to data architecture, platform design and technical decision‑making.\nImplement data integration, transformation and validation processes across multiple data sources.\nSupport real‑time and batch data processing initiatives.\nParticipate in proof‑of‑concept activities and evaluation of emerging data technologies.\nEnsure solutions meet security, governance, data retention and performance requirements.\nSupport production environments, including participation in an on‑call rotation.\nAbout the Customer This is an exciting opportunity to work on the evolution of a modern data platform, helping to deliver advanced analytics, real‑time data processing, and scalable data solutions that support critical banking operations. You will play a key role in building and enhancing data pipelines, implementing new datasets, and contributing to the migration towards a modern lakehouse architecture. Working closely with business stakeholders, data architects, analysts and engineers, you will help shape the future of data capabilities within a highly collaborative and international environment.\nRequirements Minimum 5 years of experience in Data Engineering, Big Data Engineering or Analytics Engineering roles.\nStrong experience designing and developing data ingestion and processing pipelines.\nHands‑on experience with modern data platforms and technologies such as Spark, Flink, Kafka or similar distributed processing frameworks, Hadoop ecosystem technologies including Hive, HBase, Impala or equivalent, or lakehouse technologies such as Apache Iceberg.\nStrong programming skills in Python, Java or C#.\nExcellent understanding of data modelling, scalable system design and data architecture principles.\nStrong SQL development skills and experience working with relational and/or NoSQL databases.\nExperience within Investment Banking, Capital Markets, Financial Services, Risk, Trading or Market Data environments is mandatory.\nFluent in English.\nNice to Have Experience with workflow orchestration tools such as Airflow, NiFi or RunDeck.\nExposure to CI/CD pipelines and modern software delivery practices.\nExperience working in Agile environments (Scrum/Kanban).\nKnowledge of automated testing, debugging and performance optimisation.\nExperience with cloud‑based data platforms such as Databricks, Azure Synapse or Snowflake.\nUnderstanding of microservices and API technologies.\nBenefits Long‑term contract of 24 months with a highly respected international financial institution (strong chance to extend up to five years).\nOpportunity to work on large‑scale data transformation initiatives.\nExposure to modern data technologies and enterprise‑scale data platforms.\nCollaborative and intellectually stimulating environment.\nCompetitive contract package with 50/50 split WFH/home office per week and the possibility to work abroad for 20 days per year.\nSalary EUR 60,000 – 84,000 per year.\nApplication Deadline Applications are accepted until 16 June.\n\n#J-18808-Ljbffr","company":"Study Smarter","rawCompany":"study smarter","city":"New Bremen","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-06-23T03:27:48.149Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Engineer","description":"Job Description Swisslinx is supporting a prestigious international financial institution in Basel in the search for an experienced Data Analytics Engineer to join a major data transformation programme.\nDesign, develop and maintain scalable end‑to‑end data pipelines and data products.\nBuild robust ETL/ELT solutions for data warehouse and data lake/lakehouse environments.\nCollaborate with business analysts and stakeholders to gather, refine and translate requirements into technical solutions.\nDevelop high‑quality, maintainable code using modern software engineering practices.\nContribute to data architecture, platform design and technical decision‑making.\nImplement data integration, transformation and validation processes across multiple data sources.\nSupport real‑time and batch data processing initiatives.\nParticipate in proof‑of‑concept activities and evaluation of emerging data technologies.\nEnsure solutions meet security, governance, data retention and performance requirements.\nSupport production environments, including participation in an on‑call rotation.\nAbout the Customer This is an exciting opportunity to work on the evolution of a modern data platform, helping to deliver advanced analytics, real‑time data processing, and scalable data solutions that support critical banking operations. You will play a key role in building and enhancing data pipelines, implementing new datasets, and contributing to the migration towards a modern lakehouse architecture. Working closely with business stakeholders, data architects, analysts and engineers, you will help shape the future of data capabilities within a highly collaborative and international environment.\nRequirements Minimum 5 years of experience in Data Engineering, Big Data Engineering or Analytics Engineering roles.\nStrong experience designing and developing data ingestion and processing pipelines.\nHands‑on experience with modern data platforms and technologies such as Spark, Flink, Kafka or similar distributed processing frameworks, Hadoop ecosystem technologies including Hive, HBase, Impala or equivalent, or lakehouse technologies such as Apache Iceberg.\nStrong programming skills in Python, Java or C#.\nExcellent understanding of data modelling, scalable system design and data architecture principles.\nStrong SQL development skills and experience working with relational and/or NoSQL databases.\nExperience within Investment Banking, Capital Markets, Financial Services, Risk, Trading or Market Data environments is mandatory.\nFluent in English.\nNice to Have Experience with workflow orchestration tools such as Airflow, NiFi or RunDeck.\nExposure to CI/CD pipelines and modern software delivery practices.\nExperience working in Agile environments (Scrum/Kanban).\nKnowledge of automated testing, debugging and performance optimisation.\nExperience with cloud‑based data platforms such as Databricks, Azure Synapse or Snowflake.\nUnderstanding of microservices and API technologies.\nBenefits Long‑term contract of 24 months with a highly respected international financial institution (strong chance to extend up to five years).\nOpportunity to work on large‑scale data transformation initiatives.\nExposure to modern data technologies and enterprise‑scale data platforms.\nCollaborative and intellectually stimulating environment.\nCompetitive contract package with 50/50 split WFH/home office per week and the possibility to work abroad for 20 days per year.\nSalary EUR 60,000 – 84,000 per year.\nApplication Deadline Applications are accepted until 16 June.\n\n#J-18808-Ljbffr","datePosted":"2026-06-23T03:27:48.149Z","dateModified":"2026-06-23T03:27:48.149Z","hiringOrganization":{"@type":"Organization","name":"Study Smarter","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New Bremen","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"46ee5bb067dd0ab99aa7ae5f"},"url":"https://jobsearcher.com/jobs/46ee5bb067dd0ab99aa7ae5f"}}