81 data engineer jobs found in Zürich

About the Role Sika is expanding rapidly, and our data requirements are growing just as fast. To meet these needs, we are shaping a global strategy for how Sika manages and leverages analytical data, and we are building a state-of-the-art cloud-based data analytics platform. Join our Central Data & Analytics Team as a Data Engineer - HR Data & Analytics in Zürich, where you will play a pivotal role in designing and implementing innovative solutions for data engineering and analytics. In this position, you will directly influence the architecture and execution of our new global data analytics approach, helping to set the standard for how Sika utilizes data to drive business value. Collaborate closely with HR, People Analytics, and HRIS teams to translate HR metrics and use cases into data models and reusable data products. Your Impact During the First 6 Months Build the Foundations Develop a deep understanding of Sika's data architecture, HR technology...

We're looking for an   AI Big Data Engineer   to join our team in Zürich, Switzerland, in a hybrid working mode. In this role, you will support the development of a chatbot that enables applications to interact with a global Big Data platform, improving onboarding and usability. You will work on integrating AI-driven features, creating structured documentation, and ensuring that business and technical context is captured to optimize data platform adoption and scalability. Responsibilities Design and develop chatbot functionalities for interaction with the Big Data platform Analyze and document data models in Dataiku and create templates for AI integration Define structures for documenting technical and business flows to support AI consumption Incorporate business context into platform documentation for improved knowledge accessibility Collaborate with platform and engineering teams to ensure smooth onboarding processes Apply generative AI techniques to...

Zürich, Stettbach   – With work experience – 50% - 100% Zürich, Stettbach   – With work experience – 50% - 100% 40% FlexOffice   / Your department Join our dynamic Finance Data & Processes (FD & P) team within the Specialty Lines (SpL) CH & International, where we are dedicated to shaping the future of finance. As a pivotal part of our mission, we empower finance professionals across departments - such as accounting and controlling - by fostering essential data skills and providing expert support on data-driven projects. Our team actively enhances existing reports, delivers hands-on training, and enables colleagues to independently drive process optimizations using modern data tools. For larger and more complex automation initiatives, you'll collaborate closely with stakeholders, taking on either an advisory or technical leadership role depending on the project's demands. As we continue to lead the transformation of the SpL CH...

With us, you'll actively shape the future of our analytics platform. You'll define, build, and operate data architecture and pipelines. We're looking for someone who, while immersing themselves in concepts and code, never loses sight of the big picture. Join us at the bank that, together with around 1,800 employees, has been putting people first since 1958. Split Copy link E-mail LinkedIn xing WhatsApp Apply now Migros Bank Wallisellen Industriestrasse 17-19 8304 Wallisellen Important instructions We welcome all applications, but can only consider online applications. Applications sent by post will be disposed of and not returned for data protection reasons. What you move core task You maintain an overview and manage stakeholder requirements: Design & implementation of ETL processes for analytical and operational data applications. core task You support...

About Me Liom is a Swiss health-tech startup dedicated to revolutionizing the field of personalized health monitoring. Our objective is to develop the first health wearable monitoring glucose non-invasively. We will launch our wearable as a consumer product in the United States and Europe in 2028. Our team consists of over 35 staff, with deep expertise in product development, and the required engineering as well as scientific disciplines. We are operating out of our lab facilities in Pfäffikon SZ, Switzerland. Your mission Liom is preparing to 100× its data acquisition capacity. Our visual health‑data—combined with rich metadata—is the foundation for real‑world clinical insights and downstream data‑science models. To support this next phase of growth, we are building a new data platform on Google Cloud that can scale with our ambitions. As a Data Engineer, you will take ownership of how Liom ingests, structures, validates, and operationalises data across the company....

Turn moments into memories At ifolor, we turn special moments into lasting memories. To achieve this, we need more than just strong products. We need a solid data foundation. As a Data Engineer in Marketing, you create precisely this foundation: You connect data from diverse sources, make it usable, and enable informed decisions throughout the entire customer journey. Your work transforms data into real impact – for marketing, for our customers, and for ifolor. Why ifolor? Work-life balance:   At ifolor, we value flexibility. Our hybrid work model combines the best of both worlds: We're together in the office three days a week – for collaboration and team spirit. On the other days, you decide whether you want to work on-site or from home. Financial benefits:   At ifolor, you benefit from numerous additional perks: We cover 100% of the costs for supplementary accident insurance and daily sickness allowance, and the pension fund is financed on a fair...

As a Data Engineer, you will build and implement the core data, ML, and deployment infrastructure that enables scalable, reproducible, and traceable machine learning systems for use in clinical diagnostics. In addition, your code will ensure the traceability and quality of all digitized data from ingestion to research, model development, clinical validation, and inference. This high-impact role spans data engineering, MLOps, and ML platform development in a regulated environment. Responsibilities: Build robust data ingestion pipelines for multi-modal datasets consisting of gigapixel images paired with genomic results and clinical metadata Together with the Software Engineer, design unit testing, logging, and controls to ensure a high-quality and complete data warehouse spanning structured and unstructured data Ensure data quality, consistency, and traceability by authoring the ML platform that enables training, evaluation, deployment, and monitoring of ML models...

Basel 80-100% | immediately or by arrangement We are looking for an experienced Cloud Data Engineer to strategically expand our cloud data platform. The ideal candidate will be well-versed in the Swiss insurance and healthcare sectors. As a Cloud Data Engineer, you will combine your technical expertise with an understanding of business processes and requirements, actively driving the development of our data infrastructure alongside your new team members. Do you have a learning mindset and are you ready to contribute to the continuous development of our cloud technology within an interdisciplinary team? Then apply now and become part of our Data Intelligence team! We offer a diverse and exciting range of tasks, modern employment conditions, and the option of mobile working and working from home. Here's how you can get involved: Developing, implementing, and further developing modern and scalable data solutions in the cloud. Designing end-to-end data...

Location: Zurich Technology In short As the Engineering Manager of the Data Enablement team for FinOps (Finance and Operations) you will be responsible for driving the design of data models, bringing in new data sources and building data pipelines, while leveraging SQL to provide clean, tested, documented and well-defined data. You will act as a leader for data engineers, data analysts and data scientists by providing guidance on architectural and design decisions, while evangelizing and encouraging our best practices and governance policies. Lastly you will act as a point of contact for multiple business functions and collaborate with the stakeholders to create relevant data products to enhance data adoption at On and to increase trust. Your Mission Your primary objectives as an Data Enablement Engineering Manager are: Drive Strategic Alignment & Business Impact: Partner with cross-functional stakeholders to...

For a long-term project at our client in Bern (with a remote component), we are looking for a Senior Application Developer / BizDevOps Engineer (m/f/d) - Data Engineering / Snowflake / Python. Key Facts Start: August 3, 2026 Duration: Not known Utilization: 100% Type of assignment: Location: Bern Country of assignment: Switzerland Your tasks Developing, operating, and further developing data products on the Enterprise Analytics Platform (EAP) based on Snowflake Technical analysis and integration of SAP S/4 data sources Analysis of technical issues and derivation of technical requirements within the framework of requirements engineering Designing and operating analytical business reporting systems for areas such as purchasing, supply chain, and production. Interdisciplinary collaboration with architects, business analysts and subject matter experts Translating business requirements into actionable work items and participating in agile...

Published on 18/06/2026 CDI  /  SII Switzerland MISSION Develop & Scale Pipelines: You design and implement robust ETL/ELT pipelines to process large, complex volumes of data (Big Data) using both code-based and visual tools. Semantic Data Modeling: You translate complex business processes into logical data models and help build a centralized, cross-departmental enterprise data model. Data Quality & Lineage: You implement automated quality checks and monitor data flows from source to end product to guarantee seamless data lineage. Code & Transformation: You write clean, high-performance code in PySpark and SQL to clean, aggregate, and prepare data for downstream analysis. Cross-Functional Collaboration: You work closely with Data Scientists, Business Analysts, and business departments to quickly translate their requirements into production-ready data structures. PROFILE Initial practical experience in Data Engineering (as a...

Published on 18/06/2026 Permanent contract  /  SII Switzerland ASSIGNMENT Build Pipelines in Foundry: You develop and scale data pipelines (ETL/ELT) directly within Palantir Foundry (eg, via Code Repositories, Pipeline Builder) and integrate data from a wide variety of source systems. Data Modeling & Ontology: You help map our data into the Foundry Ontology, making complex business logic tangible and accessible for analysts and end-users. Data Quality & Lineage: You implement health checks, monitor data quality across the entire data lineage process, and ensure that pipelines run stably. Code & Transformation: You write clean, efficient code (primarily in PySpark and SQL) to clean and transform large volumes of data. Team Collaboration: You work closely with Data Scientists, Analysts, and business departments to translate their requirements into functioning data models within Foundry. PROFILE Initial professional experience in...

80% - 100% | Lucerne | Home office possible Society, business, and administration in Central Switzerland make their decisions based on data – LUSTAT provides this data. Your work will contribute to ensuring that data from diverse sources can be efficiently integrated, reliably processed, and made usable in a modern, code-based production environment. Your tasks In this key position, you will actively shape the connection between raw data, modern data science methods, and data-driven decision-making in politics, business, and society. You will systematize the entire data process, from automated data preparation and analytical processing to dynamic provision and seamless version control. In doing so, you will create the technological foundation upon which our data products are developed efficiently, transparently, and with the highest quality. You systematically build and develop the ETL process for external data and ensure stable and, where possible,...

Limited to 1 year with option to extend Your tasks Your focus is on the technical design and performance tuning of our data warehouse. You will analyze and optimize our existing data pipelines based on MSSQL. You are responsible for the operation and monitoring of data flows as well as the expansion of monitoring capabilities (peak loads, data accesses, permissions, etc.) and maintain the technical documentation. Your responsibilities include connecting source data and optimizing ETL processes. You enable data usage by connecting and providing APIs. In addition, you will be responsible for implementing CI/CD pipelines, DevOps processes, and data-based tests to ensure data quality. Your responsibilities also include evaluating and implementing data protection-compliant tools, including AI-supported ones, for building, optimizing and monitoring the data warehouse. Your profile Completed higher education in computer science, medical informatics, data...

Turn moments into memories You see data not just as technical artifacts, but as the foundation for informed decisions and sustainable growth. As a Senior Data Warehouse Engineer, you will be responsible for our central data platform and actively shape the further development of our data warehouse architecture. With your technical expertise, your commitment to quality, and your holistic view of data processes, you ensure that our platform remains stable, performant, and future-proof – thus creating the basis for data-driven work throughout the entire company. Why ifolor? Work-life balance:   At ifolor, we value flexibility. Our hybrid work model combines the best of both worlds: We're together in the office two days a week – for collaboration and team spirit. On the other days, you decide whether you want to work on-site or from home. Financial benefits:   At ifolor, you benefit from numerous additional perks: We cover 100% of the costs for...

Data Science Research Assistant / Data Lake Engineer (m/f/d) 70 % (limited, by 01.08.2026) Your tasks Responsibilities and Project The position supports the development of a research data lake for empirical work with large-scale financial, textual, licensed, and partly confidential datasets. The objective is to build a robust, well-documented, and reproducible data infrastructure that allows researchers to ingest, store, process, document, and analyze data efficiently and securely. Research and infrastructure tasks will include data engineering, coding, documentation, and coordination with researchers and IT/platform providers. Core tasks include, among others: Design and implementation of the research data lake Support the design of a scalable data architecture for approximately 5 TB of research data Structure data into raw, cleaned, and analysis-ready layers Develop clear naming conventions, folder structures, access rules, and...

Data Analytics Consultant (w/m/x) Avanade is a leading provider of digital and cloud services, business solutions, and design-driven applications. As a joint venture between Microsoft and Accenture, we are the largest consulting firm for Microsoft technologies. We support our clients in cloud, modern workplace, business applications, data & AI, and security, and we value our #PeopleFirst mentality. Become part of our team Between data analysts, data engineers, and IoT and AI experts, there are many overlaps but also many unique characteristics. We see ourselves as a melting pot, bringing these areas of expertise together in one team and keeping each other up-to-date with innovative developments. Your tasks: Support in the design and implementation of data platform architectures in Azure and on-premises, as well as in data integration. Collaboration with customers and team: Remote or on-site in all phases from requirements analysis to...

We're looking for a   Dynatrace System Engineer – Big Data   to join our team in Zürich, Switzerland, in a hybrid working mode. In this role, you will design and implement observability solutions that ensure performance, availability, and reliability of large-scale Big Data platforms. Your expertise will help drive operational excellence, proactively prevent incidents, and optimize system resilience. Responsibilities Design, implement, and maintain end-to-end monitoring and observability solutions using Dynatrace Monitor and optimize performance, reliability, and availability across Big Data environments including Trino, Kubernetes, and Kafka Develop dashboards, alerts, and actionable insights for operational efficiency Apply proactive monitoring strategies to detect risks early and prevent incidents Perform performance analysis, capacity planning, and root cause investigations Collaborate with platform, data, and operations teams to strengthen stability and...

Work location:   Zurich With around 300 employees, we are one of Switzerland's leading software and consulting companies. From the initial vision to fully functional software: we love challenges. We are bbv Software Services AG, a hub of expertise that supports clients with a wide range of services – from app development to innovation workshops. Your passion, your expertise, and your personality – that's what matters to us. Benefit from our respectful and collaborative work environment. Your tasks You ingest, manage, and activate data for agentic AI applications. You design and operate data workflows so they are not only technically sound, but also efficient, reliable, and scalable. Thanks to your strong analytical mindset and structured way of working, you build high-quality data pipelines and prepare datasets that enable powerful AI-driven use cases. This results in solutions with real business value, delivered as reusable data assets and workflows...