AWS Data Engineer

  • 13th month pay & Holiday allowance
  • Bonus Program
  • 26 holidays
  • Training & Learning opportunities
  • Laptop & Smartphone
  • 32-40 hours p.w.
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This is you

Entrepreneurial

You are proactive, entrepreneurial, and service-oriented.

Motivator

You are a motivated and driven person.

Curious

You have an insatiable curiosity for new tech inventions.

Pioneer

Cutting-edge is your comfort zone.

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

Recognised as a leader in cloud transformation and managed services by Gartner, IDC and Everest, Accenture has an investment budget of 3 billion USD allocated to our ‘Cloud First’ capability to maintain a leading position in this area. Cloud First is set up for hyper-growth and is currently searching for key individuals to drive this business.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

We have exciting opportunities for AWS skilled individuals to join our Data&AI practice, part of our larger Cloud First Group. We deliver scalable, business critical and end-to-end solutions for our clients - from data strategy and governance to core engineering, enabling them to transform and operate within Cloud Technologies.

The uptake in Cloud Platforms grows exponentially year on year. This is being matched by the rapid acceleration of new AWS products and offerings which are enabling our clients to be more agile and flexible in meeting their ever-evolving markets demands. Critically within this function is the ever-present need for Data professionals who can guide, lead, and advise our clients on the best solution within a AWS Data Platform.

Successful candidates will learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.

If you’re looking for a challenging career working in a vibrant environment with access to the latest AWS certification and professional training within a global network of Cloud and Data experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge AWS Cloud Products and will have the opportunity to develop a wide range of new skills on the job.

Key Activities:

•Be required to build and deliver Data solutions using AWS products and offerings, using good communication skills to understand and deliver client requirements.

•Work with Agile and DevOps techniques and implementation approaches in the delivery.

•Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies.

•Have the opportunity & flexibility to develop your AWS Cloud career across a range of different skills paths (Platform, Data and Cloud Native specialisations).

•Be supported to continue your AWS training and certifications – complimented with other Accenture Engineer & Architecture training initiatives - and supported by our coaching and mentoring programmes.

•Be part of an extensive global Accenture/AWS network - the Accenture Amazon Business Group (AABG) – to support you in your role and future growth.

Skills:

•A STEM degree is desirable, however we will consider a non-stem degree for candidates with a demonstratable passion for technology. Desirable skills include (Experience in Spark, Kafka, SQL Server, Teradata, PostgreSQL, MySQL, or business intelligence reporting tools like Tableau, Qlik Sense or Power BI)

•Excellent communication (written and oral) and interpersonal skills.

•Ability to apply analytical and creative thought process.

•Understanding of data engineering and data architecture lifecycles

•Experience of SQL

•Experience using Python and/or R/Java

Data&AI Learning Experience for Candidates:

•ETL development, data modeling, data warehousing technical architecture and Metadata Management, Data Quality and Data Lineage tools

•AWS Data Products (Amazon RDS, Redshift, Kinesis, EMR, DynamoDB, S3, QuickSight, Glue, Athena, Aurora, etc.)

•E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management.

•Agile methodologies

•E2E Solution Design skills - Prototyping, Usability testing and data visualization literacy.

•Experience with SQL and NoSQL modern data stores.

Apply now

Application process

We believe it is crucial that you know where you stand during your application, and what the next steps are. Our process is short - but thorough - and we'd like to get to know you, and see if we are a great fit. Please connect with our recruiters in case of questions.

Apply

Found a fitting vacancy or role? Great! Apply by sending in your CV and cover letter and let's get started. Contact our recruiters in case of questions, they are here to help and guide you.

First Interview

During the interview, we'd love to get to know you and see if there is a match with our brand and brand values. We will discuss your ambitions and past experiences and tell you all you want to know about the role.

Second Interview

In the second interview, our senior management would love to get to know you. We will continue to discuss your ambitions, past experiences and we can answer any question you have about the position and work at Accenture.

Offer

If we are all happy to proceed after the interviews, we'd like to make you an offer to join Accenture. We hope we can welcome you soon as a new colleague!

Onboarding

We'd like to welcome you to Accenture and are excited that you have accepted our job offer and agreed upon your start date. You will meet all the other new joiners and continue your career at Accenture.

Let's Connect

Carl Dixon [C]