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Associate (f/m/d) Advanced Analytics & Artificial Intelligence focus Data Engineering and Cloud Architecture
vor 3 Monaten
Here at Siemens, we take pride in enabling sustainable progress throughtechnology. We achieve this by empowering customers by combining the real anddigital worlds. Improving how we live, work, and move today and for the nextgeneration We know that the only way a business thrives is if our people arethriving. That's why we always put our people first. Our global and diverseteam would be happy to support you and challenge you to grow in new ways. Whoknows where our shared journey will take you?
Our mission at Controlling and Finance Assurance (CF A) is to provideobjective, factual and independent foresight to help Siemens be excellent andto improve the overall success of the company. As a business partner to Siemensmanagement, we leverage our expertise in a wide range of topics to create animpact. We offer an inspiring, diverse and inclusive environment for our peopleto develop professionally and personally. Our core values, being respectful,curious, humble and open, define how we work together as a department.
To deliver on our vision of being pioneers in assurance and a talentincubator for Siemens, CF A offers a unique Grow and Development Model. Webelieve in the concept of lifelong learning and encourage our people towardscontinuous upskilling as a natural part of their career.
TheApplication Teams of the Cybersecurity and Applications Practice areresponsible for managing the Assurance IT Ecosystem. A key task of the ITEcosystem is the automation and digitalization of the Siemens Assuranceprocesses.
A DevOpsteam, consisting of product owners, software developers, and AI experts, hasbeen established to develop and operate the required IT applications. As amember of the DevOps team, you are responsible for identifying and developingAI-based digital solutions to optimize the Assurance IT Ecosystemfunctionality.
You will work closely (starting October, with variousAssurance departments and, together with the other members of the DevOps team,ensure the timely implementation of innovation, digitalization, and automationsolutions using AI.
What you'll be doing.
As an Associatewith focus on Data Engineering and Cloud Architecture you should be ableto apply end-to-end experience with application hosting in the cloud (e.g., inAWS and/or Azure), ETL pipelines and data architecture and DevOps processes,virtualization, containerization, and infrastructure-as-a-service technology.
- Design,develop, and maintain cloud native ETL/ELT pipelines on Azure, OpenShift andSnowflake for data ingestion, processing, transformation, and analysis.
- Collaboratewith data scientists, analysts, and business stakeholders to understand datarequirements and implement solutions for advanced analytics and A.I.applications.
- Implementsearch technologies and RAG patterns for various A.I. applications.
- Ensurethe scalability, reliability, and performance of data pipelines and systems tosupport the growing data needs of the organization.
- Workclosely with cross-functional teams to integrate data from various sources andensure data quality and consistency.
- Contributeto the evaluation and selection of cloud-based tools and technologies toenhance the data engineering capabilities.
- Developand maintain documentation for data engineering processes, pipelines, andsystem architecture.
What ittakes
- At least 3+ years of professionalexperience in data engineering, cloud technologies, and implementing datasolutions for analytics and A.I. applications within Siemens, a technologycompany, or a respected assurance and consulting firm.
- Master's degree incomputer science, Data Science, Statistics or similar.
- Proficiencyin cloud platforms, particularly Azure and OpenShift, with hands-on experiencein designing and implementing cloud-native ETL/ELT pipelines.
- Relevant certifications in cloud platformsand data engineering (e.g., Azure Data Engineer, AWS Certified Big Data -Specialty) would be an advantage.
- Strongunderstanding of data engineering best practices, including data modeling, datawarehousing, and data governance.
- Experiencein implementing search technologies, such as Elasticsearch, Solr, or AzureCognitive Search, to enable efficient data retrieval and indexing.
- Familiaritywith analytics and A.I. applications, including machine learning modeldeployment and data processing for advanced analytics.
- Proficientin programming languages such as Python, SQL, and familiarity with dataprocessing frameworks (e.g., Spark, Databricks).
- Knowledgeof data storage solutions in the cloud, including Azure Data Lake Storage,Azure SQL Database, and Azure Blob Storage.
- Strongproblem-solving skills and the ability to troubleshoot and optimize datapipelines for performance and efficiency.
- Excellentcommunication and collaboration skills to work effectively withcross-functional teams and stakeholders.
- Fluency in German, English is a plus.
While commitment to our job improvesperformance, growth happens when we stretch beyond our comfort zone. CF Aoffers ample of opportunities to seek the challenge:
Caring for the world around us is a crucialpart of our working culture at CF A for over a decade. Everyone at CF A has thepossibility to actively engage in our global CSR community and make an impactwith our socially and environmentally motived CSR projects.
To discover more about CF Ahave a look at Siemens CF A.
What we offer.
- 2 to 3 days of mobile working per week as a future global standard
- Attractive remuneration package, relocation and visa sponsoring if needed
- CF A Grow & Development program for both personal and professional growth
- 30 leave days and a variety of flexible working models that allow time off for yourself and your family
- Find more benefits here
Any questions left?
Click here if you wish to find out more about Siemens before applying.
As an equal-opportunityemployer we are happy to consider applications from individualswith disabilities.
