Data Engineer - Finance Data Products

Recruiter
Siemens Energy
Location
Romania
Salary
Competitive
Posted
09 Nov 2022
Closes
07 Dec 2022
Employer Sector
Banking & Finance - Retail
Contract Type
Permanent
Hours
Full Time
Travel
None
A Snapshot of Your Day: as Data Engineer, you should bring those technologies together in solutions by guiding the development, testing and deploying the components, based on:
- your f irst experience in varied technologies, databases and data warehouses solutions (e.g., Snowflake), visualization / reporting platforms (e.g., Tableau, SAP Analytics Cloud) and integration technologies (ETL applications e.g., SnapLogic, Alteryx, Knime) may as well as other platforms and services which supports machine learning
- your first e xperience in coding practices (e.g., PL/SQL programing skills, VBA, Java).

How You'll Make an Impact:
  • Designing Data Delivery solutions in accordance with standard design principles and conventions
  • Implementing Data Delivery solutions in accordance with standard design principles and conventions
  • Identifying and communicating the technical implementation requirements
  • Creating and maintaining solution documentation
  • Creating and documenting test procedures and scenarios for the pre-UAT phases
  • Supporting the Operational Teams during the UAT and rollout
  • Maintain Data Delivery solutions / handover to Maintenance support
What You Bring:
  • Bachelor university study in Engineering/Computer Science/ Finance with relevant work experience
  • A willingness and ability to use existing knowledge to rapidly learn how to develop Data Delivery solutions using a given technology portfolio
  • Good written skills with the ability to produce clear and concise documentation
  • A self-starter who delivers high quality work and can adapt to new challenges, on their own and as part of a team.
  • A basic understanding of data processes in Finance and capable of analysing a process
  • An understanding and hands-on experience in coding
  • An enquiring mind, good at problem solving.
  • Good inter-personal communication skills - able to explain issues to both a process and data expert and follow instructions accurately
  • 2+ years relevant experience
  • Firts experience in varied technologies, databases and data warehouses solutions (e.g., Snowflake), visualization / reporting platforms (e.g., Tableau, SAP Analytics Cloud) and integration technologies (ETL applications e.g., SnapLogic, Alteryx, Knime) may as well as other platforms and services which supports machine learning
  • First experience in coding practices (e.g., PL/SQL programing skills, VBA, Java).
About the Team:

"Let's make tomorrow different today" is our genuine commitment at Siemens Energy to all customers and employees on the way to a sustainable future.

In our Business Functions we enable our organization to reach their targets by providing best-in class services and solutions in the areas of IT, HR, Finance, Real Estate, Strategy & Technology and more.
Check our video:

Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 92,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we're also using our technology to help protect people and the environment.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonizatio n, new technologies, and energy t ransformation.

Our Commitment to Diversity:

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefi ts:

Working with a global team
Opportunities to work on and lead a variety of innovative projects
Supportive work culture
Remote/Flexibl e work
Continual learning through the L nergy platform

We value equal opportunities and welcome applications from people with disabilities.

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