Data Engineer

Siemens Mobility is a separately managed company of Siemens AG and has been a leading supplier in the field of mobility for over 160 years. Our core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, and related services. We have always been very innovative in making traveling faster, safer, and more comfortable. Today, we need new solutions to new challenges such as climate change and rising populations worldwide. That's what drives us. That's why we shape mobility with passion, always being one step ahead. Through digitalization, we make infrastructures smart and create opportunities that get us from A to B sustainably and seamlessly. Our employees are pioneers in mobility who help to keep the world moving.

At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow’s reality.

We are looking for a data engineer that joins the Launch 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 Launch 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 Launch 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 Engineer, you will focus on expanding and enhancing our data platforms to deliver clean, structured data to our internal customers. You will help deliver value to our end users and have the opportunity to create solutions from our data lake while working to enhance the stability and flexibility. You will tackle complex problems while delivering real-world solutions.

What will you do?
- Deploy data to solve key business issues and show the value data can provide in creating insights across SMO Spain and South -West Europe Region
- Use state of the art technologies (Snowflake, AWS, SQL Server, Snaplogic, etc.) to acquire, ingest and transform big datasets
- Map data fields to hypothesis, curate, wrangle and prepare data to be used in advanced analytics models
- Enable efficient and performant data modeling
- Create and manage data environments in the cloud or on premise
- Ensure information security standards are always maintained
- Contribute to cross-functional problem-solving sessions and deliver presentations to colleagues/internal clients
- Interest in keeping up to date of latest developments in data science principle and keep up to date with state-of-the-art technology to best support the business in making truly data-driven decisions
- Document and share methods, processes and project results and regularly communicate and present your findings
- Transversal alignment between departments
- Support on the development of cross-business optimization projects by automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Work with data and analytics experts to strive for greater functionality in our data systems.

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 identifying opportunities for improvements, innovative, enthusiastic, and versatile
- Be an excellent team player and like to work in multi-disciplinary teams
- Be passionate about data, digitalization, AI and analytics
- Have strong internal customer focus
- Possess the Ability to navigate easily in a global & multicultural environment
- Have strong quantitative analytical skills
- Good communication skills

What qualifications do you need?
- 2+ years professional experience in data fields
- Degree in computer science, mathematics, statistics, engineering, or a comparable field
- Knowledge of software engineering concepts and best practices
- Experience building data pipelines in production and 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, SSIS 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
- 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