Data Engineer

Job Description

At Rolls-Royce, we pioneer cutting-edge technologies that deliver the cleanest, safest and most competitive solutions to our planet’s vital power needs. We embrace the power of data and technology and aim to be Digital First in everything we do.

To ensure we continue to be pioneers of our industry, Rolls-Royce has a team of over 16,500 engineers around the globe. They include everyone from world experts in their field to those who manage hundreds of people and millions of pounds worth of investments. We recruit engineers at all levels and in a range of disciplines. And while we encourage specialisation, we also offer freedom to cross-specialise and develop skills across a number of different areas.

A data engineer works on implementing complex data projects with a focus on collecting, parsing, managing, analysing and visualising large sets of data to turn information into value using multiple platforms.You will work with business analysts and data scientists to understand customer business problems and needs, secure the data supply chain, implement analysis solutions and visualise outcomes that support improved decision making for a customer.

You will understand how to apply technologies to solve data problems and to develop innovative data solutions.

Key Accountabilities

• Working with colleagues to understand and implement requirements.

• Securing the data supply chain, understanding how data is ingested from different sources and combined / transformed into a single data set. Understanding how to analyse, cleanse, join and transform data.

• Implementing designed / specified solutions into the chosen platform (e.g. Azure Data Factories / Data Lakes, HDInsight, Talend, MuleSoft or traditional software).

• Working with colleagues to ensure that the infrastructure available is capable of meeting the solution requirements.

• Planning, designing and conducting tests of the implementations, correcting errors and re-testing to achieve an acceptable result.

• Appreciate how to manage the data including; security, archiving, structure and storage.

Experience and Qualifications

• Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience, with proven experience in a Software Engineering role.

• 2-3 years of experience in implementing data warehouse, data engineering pipelines is a must.

• Experience with up to date with data technology capabilities e.g. Hadoop, Spark, Azure, PowerBI, Tableau is a must

• Experience or fair understanding of Devops CI/CD principles is desirable.

• Experience of using IaaS / PaaS / SaaS is desirable.

• Experience with Microsoft development stack is desirable (C#.net) is desirable

• Experience with databases and data query tools & technologies (SQL, PL/SQL, NoSQL, MongoDB, Cassandra etc…) is a must.

• Experience with ETL tools such as SSIS, Talend, MuleSoft etc… is a must.

• Experience with time series data processing and storage including technologies such as InfluxDB, OpenTSDB etc… is desirable

• Experience with scripting and automation such as Linux shell, PowerShell, R, Python etc.… is a must.

• Experience on both Microsoft and Linux operating systems is must.

• Ability to investigate and resolve technical problems.

• Experience of working in an agile environment, within a self-organising team. Experience with Visual Studio Team Services aka Azure Devops is desirable.

• Should be able to architect highly scalable distributed systems using traditional and cloud based software.

We offer excellent development prospects, along with a competitive salary and exceptional benefits.

Pioneerthe next generation of innovation. Join us and you’ll develop your skills and expertise to the very highest levels, working in an international environment for a company known the world over for its brilliance.

Beyond Tomorrow

We are an equal opportunities employer. We’re committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we’ll be. By building a culture of respect and appreciation, we give everyone who works here the opportunity to realize their full potential.

So that you can be your best at work and home, we’ll consider flexible working arrangements for everyone, in any role .

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