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    Data Automation Engineer - Madrid, España - Siemens

    Siemens
    Siemens background
    Descripción
    Siemens Mobility is a separately managed company of Siemens.

    As a leader in transport solutions for more than 160 years, Siemens Mobility is constantly innovating its portfolio in its core areas of rolling stock, rail automation and electrification, turnkey systems, intelligent traffic systems as well as related services.

    With digitalization, Siemens Mobility is enabling mobility operators worldwide to make infrastructure intelligent, increase value sustainably over the entire lifecycle, enhance passenger experience and guarantee availability.

    Mobility Management, Turnkey Projects & Electrification, Mainline Transport, Urban Transport and Customer Services.

    They have the know-how to make road traffic flow more smoothly and quickly, make trains more environmentally friendly and efficient, make train schedules and freight shipments more reliable.

    We work with our customers to develop optimal solutions to help overcome their challenges.

    We are looking for a data engineer that joins the Digital Hub (ninja) team and who shares our passion for helping make Siemens Mobility Spain and the South-West Europe Region a more efficient and digitalized company.

    The Ninja Digital Hub is a space to innovate where self-initiative can thrive.

    The goal is to push internal digital transformation, enhance efficiency and provide proper tools and information to the strategic decision-making processes at the company.

    The Digital Hub main activities are focused on starting or set efficiency in motion, build up a community and support on becoming a data-driven company.

    As a Data Automation Engineer, you will play a pivotal role in bridging the gap between data engineering, automation, and low-code application development to solve diverse organizational challenges.

    Your primary responsibility will be designing, developing, and maintaining data pipelines and infrastructure while also leveraging low-code platforms to create user-friendly applications that automate manual processes and address business needs.

    What will you do?

    • Design, develop, and maintain data pipelines and infrastructure to ensure efficient extraction, transformation, and loading (ETL) of data from various sources.
    • Utilize low-code development platforms such as Mendix and PowerApps to build user-friendly applications that address specific business use-cases and enable self-service data access.
    • Implement automation solutions to streamline repetitive tasks, optimize data processing workflows, and improve operational efficiency across the organization, primarily leveraging Office 365 applications with Power Automate.
    • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that leverage data and automation.
    • Support data governance activities by ensuring data quality, security, and compliance standards are maintained throughout the development process.
    • Provide technical support and training to end-users to facilitate adoption and utilization of automated solutions and applications.
    • Stay updated on emerging technologies and best practices in data engineering, automation, and low-code development, and incorporate them into the organization's practices.
    What will you need to succeed?

    • Display self-reliance and resourcefulness.
    • Be comfortable in a fast-moving environment and excited to collaborate cross-functionally.
    • Be proactive in identifying opportunities for improvements, innovative, enthusiastic, and versatile.
    • Be an excellent team player and enjoy working in multi-disciplinary teams.
    • Be passionate about data, digitalization, AI, and analytics.
    • Have a strong internal customer focus.
    • Possess the ability to navigate easily in a global & multicultural environment.
    • Have strong quantitative analytical skills.
    • Have good communication skills.
    What qualifications do you need?

    • 2+ years of professional experience in data fields.
    • Degree in computer science, mathematics, statistics, engineering, or a comparable field.
    • Knowledge of data engineering concepts and best practices.
    • Experience building data pipelines in production and the ability to work across structured, semi-structured, and unstructured data, as well as experience preparing data for analytics and following a data science workflow.
    • Experience in creating and designing ETL/ELT chains (in Snaplogic or similar).
    • Experience in data modeling on Snowflake, AWS, SQL Server, SAP HANA, or other data warehouse solutions.
    • Experience in preparing data for analytics and following a data science workflow.
    • Strong analytic skills related to working with unstructured datasets.
    • Professional experience with reporting systems, data pipeline architecture, data modeling, and automation.
    • Office 365 Power Platform knowledge (Power BI, PowerApps, Power Automate...).
    • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
    • Experience supporting and working with cross-functional teams in a dynamic environment.
    • Knowledge of low-code applications development such as Mendix or PowerApps.
    • User Experience knowledge/orientation.
    • Knowledge of VBA language.
    • Desirable knowledge of SAP software.

    If we all thought the same, we would never think of anything new That's why we recruit great minds from all walks of life.

    We recognise that building a diverse workforce is essential to the success of our business, therefore we encourage applications from a diverse talent pool.

    We welcome the opportunity to discuss flexibility requirements with our applicants to encourage agile working and innovation. Flexibility is our main benefit. We combine remote and presence work because work-life balance and wellbeing are essential for our teams.

    We are convinced that stay at home allow us to focus on activities that need more time for concentration and being at the office enhance our creativity collaborating and learning from others.

    Siemens aboga por la igualdad de oportunidades entre mujeres y hombres, así como en la Diversidad como fuente de creatividad e innovación.

    Contar con diferentes tipos de talento y de experiencias nos hace ser más competitivos y estar mejor preparados para responder con éxito a las demandas de la Sociedad.

    Por ello, valoramos a las candidatas y a los candidatos que reflejen la Diversidad que disfrutamos en nuestra Compañía y animamos la cobertura de puestos por mujeres y hombres en ocupaciones que se encuentren subrepresentadas.

    #LI-AM1 #J-18808-Ljbffr

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