Data Architect - Energy Trading (f/m/d) - remote possible

Data Architect – Energy Trading (f/m/d) – remote possible
Data Architect – Energy Trading (f/m/d) – remote possible
DE, Germany
1970-01-01
2025-08-13

EnBW Energie Baden-Württemberg AG

nach Vereinbarung / Qualifikation

Über das Unternehmen
Wir suchen Menschen, die an die positive Kraft von Energie glauben und an ihre eigene Stärke, Dinge voranzubringen. Die wissen, wie wichtig Energie und Infrastruktur sind und wie groß die Möglichkeiten, mit ihnen Zukunft für alle zu gestalten. Denn wir sind genauso: Ein großes, tatkräftiges Unternehmen, das die Tür weit aufmacht für Menschen, die mit uns gemeinsam aus Ideen echte Veränderungen machen. Wir sind das E. Du auch?

Unser Angebot

Remote, Homeoffice, Teilzeit, Workation* – wir sind davon überzeugt, dass flexible Arbeitsmodelle dazu beitragen, selbstbestimmt und sinnstiftend zu arbeiten. Dazu tragen auch unsere vielfältigen Weiterbildungs- und Entwicklungsangebote sowie unser ausführliches Mentoring bei – und das alles bei einem sicheren Arbeitgeber wie der EnBW.

Weitere Benefits:

• 30 Tage Urlaub

• Finanzielle Extras wie Urlaubs- und Weihnachtsgeld, Erfolgsbeteiligung, vermögenswirksame Leistungen, betriebliche Altersvorsorge, Energiepreisermäßigung und Kinderzulage

• Leasing-Angebote für Mobilgeräte und Fahrräder

• Vergünstigtes Deutschland-Ticket

• Zuschuss zur Büroausstattung bei überwiegender Homeoffice Tätigkeit

• Mehr zu unseren vielfältigen Arbeitgeberleistungen im Überblick

• Workation: Bis zu 30 Kalendertage am Stück und bis zu 90 Kalendertage innerhalb von 12 Monaten, wenn es die Rahmenbedingungen im gewählten EU-Land zulassen

Vielfältige Aufgaben

Within the IT Trading department, we are currently looking for a Data Architect (Trading) to join our dynamic Data Cluster team. Data architects define an organization’s data vision and put it into practice. To be a perfect fit, you have a deep understanding of data modelling patterns, data access patterns, cloud architecture and common IT systems prevalent in European commodity trading. In this role your main responsibilities will be as follows:

• Design, develop, and maintain data products to support data mesh domains and other data-driven architectures across the Trading organization. Translate business requirements into databases, data warehouses, and data streams
• Define data services (data products) and data access patterns (e.g., API Endpoints) for data domain stakeholders, including documentation to provide visibility to various groups. Develop application programming interfaces (APIs) and other connectors to retrieve data.
• Analyse, plan, and define data architecture frameworks, including security, reference data, metadata, and master data
• Consider End-to-End data processes while designing data products
• Collaborate with other teams within the organization to devise and implement data strategies, build models, and assess shareholder needs and goals.
• Ensure that data modelling and data access patterns are consistent across various data domains while supporting time2market on implementation timeline and dependencies.
• Work in an Agile environment in close collaboration with architects, engineers, product owners and business consumers.
• Consult teams to ensure that operability is given, and data quality assurance processes are set up
• Address data governance topics, such as maintenance of the data catalogue, communication to data stewards etc.

Überzeugendes Profil

Who are we looking for? Someone who’s passion is data, and the way data will be used in the future. Your modelling expertise ensures that processes and people have fast access to structured data in a consistent way. You can manage the trade-off between best-in-class design on data modelling versus pragmatic solution design patterns to support fast time to market for data driven use cases. Together with your team and domain experts you will develop the Data Domains for EnBW Trading. If you have proven experience in the following domains, we should get to know each other:

• Education: University degree in computer science, business informatics, mathematics or in a related field
• Soft skills: Excellent communication skills in English and German to get teams and stakeholders on board and convey the meaning and purpose of the teams‘ work
• Experience: Several years‘ professional experience of working in complex data ecosystems, including:
• modelling of data products in a data mesh environment
• multiple forms of data connectors and underlying data stores (relational, analytical or in-memory databases, objects/JSON stores, Big Data Stores – Snowflake) and their integration
• solution design and various coding as well as data manipulation languages and tools (Python, SQL, REST, C#, Git, Azure DevOps, etc.)
• real-time data and integration patterns
• Knowledge:
• Solution Design of large-scale data (-mesh) ecosystems
• Meta- and master data structures and organization including data access management
• Data related cloud capabilities (S3, Snowflake, API Gateway, AAD, Collibra, Data Pipelines, Kinesis, Kafka, etc.)
• latest trends and best practices in enabling data driven business solutions at enterprise scale
• security principles and data protection practices
• Experience in Trading (energy, investement banking, etc.), data driven environments

Über den Bereich

EnBW is one of the largest energy supply companies in Germany and Europe, supplying electricity, gas, and energy-related products and services to 5.5 million customers. Within its trading business unit, the trading IT acts as a service provider and enabler in providing a broad range of tools, methods, and services to the trading needs.

EnBW Trading is a data driven enterprise, requiring endless information about Trade Lifecycles, Markets, Meteorological Data, Asset Data, Client Insight, etc. It’s Trading decisions are driven by data insights based on flexible solutions to gather, transform, transport, manipulate, visualize and extract data.

To support dynamics and opportunities in Trading a Data Backbone architecture has been established, based on Data Mesh principles. To ensure our data consumers (e.g., Trading, Middle-Office, Quant) can base their decisions on structured, reliable, and fast data & data access we need to build best in class data models and flexible ways to access data.

The team works remotely most of the time, but we meet regularly at our offices in Karlsruhe, Germany. Paired with our flexible working times and an agile delivery culture, this ensures you work where (in Germany) and when it suits you best.

Kontakt

Interessiert? Jetzt online bewerben! Ein Anschreiben ist dafür nicht erforderlich, gegebenenfalls stellen wir ein paar jobspezifische Fragen in unserem Bewerbungsformular.
Unser Recruitingteam stellt neben der EnBW für weitere Konzerngesellschaften ein. Bei Fragen steht Andrea Boulay | a.boulay@enbw.com gerne zur Verfügung.

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Recruiter
Andrea Boulay | a.boulay@enbw.com