data-engineer

Die Karrierearchitekten is a recruitment agency that specializes in connecting talented individuals with companies seeking to fill vacancies. They focus on innovative and personalized search methods to ensure a perfect match between candidates and positions. With a deep understanding of the unique needs of both employers and job seekers, Die Karrierearchitekten strives to create sustainable placements that prioritize mutual respect and long-term career satisfaction.

Die Karrierearchitekten

• Strategically design the data and system architecture in alignment with corporate objectives
• Design and further develop data models to support strategic decision-making
• Conceptualize and implement data integration solutions for seamless data processing
• Advise and support internal teams on architectural questions
• Evaluate and introduce new technologies in the data domain
• Ensure compliance with architecture guidelines and standards

Data Architect – Energy Sector

Data Architect in a dynamic energy company, shaping data architecture and integrating solutions. Collaborating with teams to enhance decision-making and ensuring compliance with architectural standards.

b.telligent is a technology-independent consulting firm specializing in analytics and data management. With over 400 employees across Germany, Austria, Romania and Switzerland, b.telligent supports companies throughout all project phases, focusing on optimizing digital and data-driven business processes and customer and supplier relationships. The firm is recognized for excellence in areas like data analytics, artificial intelligence, big data, digitalization, IT consulting and implementation, serving various industries including automotive, banking, private equity, ecommerce, and insurance.

b.telligent is a consultancy company specializing in the introduction and development of business intelligence, customer relationship management, DWH and Big Data for businesses operating in mass markets.

The focus of its activities in these areas is on the continuous optimization of business processes, customer and supplier relationships through the insights gained from the consolidation and analysis of business data across systems. The insights gained there can in turn be employed to increase margins, reduce costs and control risks better.

b.telligent’s customers are industry leaders from the telecommunications, financial services, trade and manufacturing industries.

b.telligent

• You develop sustainable data solutions, from requirements analysis through implementation and commissioning
• You support the development of modern, high-quality data platforms — especially in cloud environments such as Azure, AWS, or GCP
• You work daily with modern data management technologies (for example Databricks, Snowflake, or Microsoft Fabric) and continuously deepen your expertise in them
• You implement ETL processes and optimize them for performance and scalability
• You support clients in developing complex processing pipelines and in deploying data services/data products
• You work closely with various stakeholders — in German and English
• You focus on the continuous improvement and automation of existing systems

Senior Data Engineer

Senior Data Engineer designing and implementing sustainable data solutions for diverse clients. Collaborating closely with stakeholders to enhance data services and platforms in a hybrid environment.

• You will develop sustainable data solutions, from requirements analysis through implementation and deployment
• You will support the development of modern, high-quality data platforms — on-premises and in clouds such as Azure, AWS, or GCP
• You will work daily with modern data management technologies (for example Databricks, Snowflake, or Microsoft Fabric) and continuously expand your expertise in them
• You will implement ETL processes and optimize them for performance and scalability
• You will assist clients in developing complex processing pipelines and deploying data services/data products
• You will work closely with various stakeholders — in German and English
• You will take responsibility for the continuous improvement and automation of existing systems

Senior Data Engineer developing sustainable data solutions for various clients. Collaborating on cloud projects and utilizing modern data management technologies in a hybrid working environment.

woom is a Vienna-founded maker of lightweight, child-specific bikes and cycling gear designed for toddlers and children. The company engineers bikes in multiple sizes (12"–26") plus balance bikes, helmets, accessories and spare parts, and sells directly to families through its online store and dealer network in 37+ countries. woom emphasizes safety, child-friendly ergonomics, award-winning design and a service ecosystem (warranty, spare parts, dealer locator, Riders Club) to inspire kids to enjoy cycling.

woom is an international manufacturer of bikes for children and teenagers with its headquarters in Klosterneuburg, outside of Vienna. The company was founded in 2013 by Christian Bezdeka and Marcus Ihlenfeld in a garage in Vienna. After a long and fruitless search for the perfect bike for their children, the two bike-loving fathers decided to take matters into their own hands and design a bike themselves: zooming in on a low weight, timeless designs, high-quality components, and child-specific geometry. 
In just a few years woom went from little-known brand to market leader, with woom bikes now being sold in 30 countries around the world, including Austria, Germany and Switzerland, the US and Asia. Every third children's bicycle purchased new in Austria is a woom bike. In 2021 the 500,000th woom bike rolled off the production line.

Alongside the woom ORIGINAL lineup of balance and pedal bikes (woom ORIGINAL 1 to woom ORIGINAL 6), the brand also produces the woom OFF mountain bike with a carbon fork and the woom OFF AIR with front suspension. In 2020, these were joined by the woom UP eMTB with a natural-feeling drive system. There are numerous pieces of woom equipment and accessories that make cycling even more enjoyable. Over the years, woom has received multiple prestigious design awards for its bikes and other products. 
In 2020, woom sold almost 230,000 bikes despite all the supply chain shortages caused by the COVID-19 pandemic. The number of bikes sold was up by over 60% compared to 2019. In the autumn of 2020, woom took on investors for the first time ever, with venture capital group Bregal and Runtastic founder Florian Gschwandtner amongst those being welcomed on board. Since 2021, the final assembly of woom ORIGINAL bikes for the European market is carried out at a SPRICK CYCLE factory in Poland.
As of May 2022, woom employs more than 200 staff members in Austria and 60+ in the USA, and the team is expected to grow to around 300 employees by early 2023.

woom

• Architect the Hybrid Cloud: Design and evolve our data architecture
• Orchestrate Data Flows: Build and maintain high-performance Data Pipelines
• Master Transformations: Lead the logic for data transformation layers
• Drive Data Consumption: Collaborate with BI and product teams
• Governance & Scalability: Establish best practices for data modeling

Data Architect – f/m/x

Data Architect designing and evolving data architecture at woom, focusing on hybrid cloud solutions and high-performance data pipelines. Collaborating with teams to optimize data consumption and drive insights across business systems.

<Volksbank Wien> is a regional Austrian retail and commercial bank (Volksbank) offering a full range of financial services including personal and business checking and savings accounts, debit and credit cards, digital and mobile banking apps, loans and mortgages, investment and wealth management, insurance products, and corporate banking services. The bank operates branches in Vienna, provides online banking (hausbanking), investor relations and compliance disclosures, and emphasizes local/regional customer service and sustainability initiatives.

Die VOLKSBANK WIEN AG ist die größte Volksbank Österreichs. Das Einzugsgebiet umfasst sowohl ganz Wien und das gesamte Burgenland, als auch das Weinviertel, das Waldviertel und das Industrieviertel.

Die Bank konzentriert sich auf die Kernbereiche Einlagen, Kredite und Zahlungsverkehr. Im Dienstleistungsgeschäft bei Konsumkrediten, Versicherungen, Wertpapieren, Leasing, Bausparen und weiteren Geschäftsfeldern vertreibt die VOLKSBANK WIEN AG Produkte von  Kooperationspartnern wie etwa der TeamBank, der ERGO Versicherung und der Union Investment, die in diesen Bereichen höchste Expertise und Qualität ausweisen.

Der Fokus der Regionalbank liegt auf einer nachhaltigen Kundenpartnerschaft und laufenden Verbesserung des Kundenservices – die VOLKSBANK WIEN AG ist DIE Hausbank der Kunden aus der Region.

Volksbank Wien

• Develop, optimize and operate analytical data models, data products and queries (focus on SQL and Spark)
• Model, transform and document data models using dbt as the framework
• Build and enhance reporting and analytics solutions with Power BI (data products, semantic models, performance optimization)
• Integrate, transform and ensure the quality of data from various source systems
• Implement data pipelines following defined data architectures and data-lineage requirements
• Collaborate closely with business units to translate business requirements into robust technical data models
• Perform ad-hoc analyses and provide technical support for existing reports and dashboards
• Contribute to the further development of our data platforms, modeling and reporting standards

Data Engineer – Expert

Data Engineer responsible for developing and optimizing analytical data models in a hybrid work environment. Collaborating with teams to ensure data quality and reporting standards for a modern bank.

Volksbank is Austria-based cooperative banking group offering retail and commercial banking services across regions. The company provides digital banking (hausbanking), accounts (girokonto, youth accounts, business accounts), cards and payments (debit and credit cards, Apple Pay, Google Pay), loans and financing (residential mortgages, consumer loans, leasing, business financing), savings and investments (savings accounts, ETFs, funds), insurance and pension products, and business services (transaction banking, factoring, EBICS, PSD2). Volksbank emphasizes regional focus with 95% regional financing and positions itself as a community-oriented house bank, offering apps and online banking, fraud support, and sustainability initiatives.

Volksbank - Ihre Hausbank.

Die Volksbank ist die Hausbank für Unternehmer und unternehmerisch denkende Private in ganz Österreich.

Wir stehen für Vertrauen, Nachhaltigkeit und Regionalität, bereits seit über 170 Jahren. Mit der Volksbank an Ihrer Seite erreichen Sie Ihre Ziele besser, leichter und schneller. Egal ob am Land oder in der Stadt: Wir sind für Sie da. 

Unsere verlässlichen Beraterinnen und Berater stehen Ihnen gerne zur Verfügung - persönlich und digital per Videoberatung.

Unsere Ski Austria-Skispringerinnen und Skispringer vertrauen bereits auf uns – tun Sie es auch, denn:

Vertrauen verbindet.

Volksbank

• Entwicklung, Optimierung und Betrieb von Analytischen Datenmodellen, Datenprodukten und Abfragen (Schwerpunkt SQL bzw. Spark )
• Modellierung, Transformation und Dokumentation von Datenmodellen mit dbt als Framework
• Aufbau und Weiterentwicklung von Reporting- und Analytics-Lösungen mit Power BI (Daten Produkte, Semantische Modelle, Performance-Optimierung)
• Integration, Transformation und Qualitätssicherung von Daten aus unterschiedlichen Quellsystemen
• Umsetzung von Datenpipelines entlang definierter Datenarchitekturen und Data-Lineage-Vorgaben
• Enge Zusammenarbeit mit Fachbereichen zur Übersetzung fachlicher Anforderungen in robuste technische Datenmodelle
• Durchführung von ad-hoc Analysen sowie technischer Support für bestehende Reports und Dashboards
• Mitarbeit an der Weiterentwicklung unserer Datenplattformen, Modellierungs- und Reporting-Standards

Data Engineer developing and maintaining analytical data models in a decentralized banking sector in Austria. Focused on SQL and Power BI for efficient reporting and analytics solutions.

TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.

TetraScience is the Scientific Data Cloud company with a mission to accelerate scientific discovery and improve and extend human life. 

The Tetra Scientific Data Cloud(TM) is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain and delivers the foundation of harmonized, actionable scientific data necessary to transform raw data into accelerated and improved scientific outcomes. 

Through the Tetra Partner Network, market-leading vendors access the power of our cloud to help customers maximize the value of their data.

TetraScience

You will be leading the Scientific Data Engineering (SDE) Team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer. We are looking for a data engineer who is experienced, hands-on, and can also provide mentorship to junior team members. As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions and architecting solutions. You will work directly with Product Managers and Solution Architects to gather business and data design objectives, resulting in production-based solutions. As a Senior Scientific Data Engineer, you will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have a high commitment to customer success by delivering mission-critical implementations.

Our success is defined by collaboration. You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external.

- Work with Product Managers and Solution Architects to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus.
- Take ownership of building data models, prototypes, and integration solutions that drive customer success.
- Research and prototype data integration strategy for scientific lab instrumentation, prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries).
- Quality gatekeeper: design with quality backed by unit tests, integration tests, and utility functions.
- Lead team-wide process/technology improvements on product quality and developer experience
- Rally the team to finish Agile Sprint commitments. Actively surfacing team inefficiencies and striving to resolve them.
- Driven by results. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen.
- Provide mentorship to junior SDEs and show leadership in every front


Senior Scientific Data Engineer

Lead Scientific Data Engineering team at TetraScience, focusing on data solutions and customer success. Mentor junior engineers while collaborating with cross-functional teams and managing projects.

Hybrid Data Engineers roles in Austria

Browse 7 hybrid data engineers roles hiring in Austria plus related opportunities such as data architect, analytics engineer and product analyst.

7 jobs found

Data Architect – Energy Sector

Die Karrierearchitekten

Senior Data Engineer

b.telligent

Senior Data Engineer

b.telligent

Data Architect – f/m/x

woom

Data Engineer – Expert

Volksbank Wien

Data Engineer – Expert

Volksbank

Senior Scientific Data Engineer

TetraScience