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Senior Analytics Engineer (m/f/d)

ジョブID
517349
公開開始日
10-8月-2026
組織
Information Technology
職種分野
Information Technology
会社
Siemens S.A.
経験レベル
シニアプロフェッショナル
ジョブタイプ
フルタイム
勤務形態
ハイブリッド（リモート/オフィス）
雇用形態
無期雇用
ロケーション
  • アマドーラ - リスボン - ポルトガル
  • バンガロール - カルナータカ州 - インド
  • プネ - マハーラーシュトラ州 - インド
Create a better #TomorrowWithUs 🚀

At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over 300.000 of the world’s most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.

About Portugal Tech Hub
We take on challenges to make life easier, safer, and more sustainable for us and generations to come. We bring value to the business digitalization transition, from Portugal to the world, in areas such as Artificial Intelligence, Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management, IT Strategy, User Experience, and many more.

With a decade of history and around 1.600 experts, the Portugal Tech Hub is the home of the new technologists – Dream Builders, Impact Creators & Future Makers.


Are you ready to be part of the change? Come join us!  ⭐


Your mission will be… 
  • Build outstanding, scalable data models by extracting and transforming data from various sources using our modern ingestion tools like SnapLogic and Confluent Cloud. 
  • Shape and implement the data architecture, including standards for data models, metadata, and security, ensuring adherence to the overall architectural vision. 
  • Drive protocols in a DataOps environment, participating in code reviews, retrospectives, and encouraging a culture of knowledge sharing and continuous improvement. 
  • Implement effective and sophisticated database solutions in Snowflake to store, retrieve, and transform company data for analytical applications. 
  • Produce meaningful metrics and logs to debug, trace, and supervise data pipelines and models, ensuring high data quality and reliability. 
  • Be a valued technical leader, mentor, collaborator, and champion of protocols within an autonomous, cross-functional agile team.
  • Act as a key consultant and enabler for data teams across Siemens, helping them tackle complex data modeling and data warehousing challenges.


We are looking for someone with…
  • A university degree in IT, Engineering, Economics, or a related quantitative field.
  • Extensive experience in data engineering and data warehousing, with a consistent record of building and maintaining complex data models. 
  • Expert-level programming skills in SQL and deep proficiency with dbt.
  • Strong experience working with cloud data warehouses, particularly Snowflake.
  • Familiarity with modern data ingestion frameworks and tools such as SnapLogic or Confluent Cloud. 
  • Proficiency in at least one general-purpose programming language, preferably Python.
  • Proven experience with major Cloud technologies (AWS, GCP, Azure) and working in agile software development environments. 
  • A problem-solving and data-first approach, with the ability to create real business value.
  • Excellent command of English is required and German is an added advantage.


What We Offer
  • Belong & Innovate: Work in diverse teams where every idea matters and innovation grows through collaboration and trust.
  • Flexibility that Works: Hybrid model, flexible hours, and a home office budget — because balance fuels performance.
  • Health & Well-being: Comprehensive health insurance, mental health support, and active sports communities to keep you feeling your best.
  • Grow Without Limits: Access world-class learning platforms, mentoring, and continuous development opportunities.
  • Purpose & Perks: Contribute to sustainability and volunteer initiatives, enjoy partner discounts, and take advantage of our convenient shuttle service.


Please attach your CV in English to your application.


#Siemens #PortugalTechHub


Siemens is deeply committed to fostering a diverse and inclusive environment. We are proud to be an equal opportunity employer and strongly encourage applications from a wide array of talented individuals!