Analyst(Data/ Business/ Application)

Data Engineer

About the company

At Sogeti, we know how to create value with technology- it’s our passion. We work closely with clients and partners to take full advantage of the opportunities of technology. We mobilize expert teams that create custom solutions from existing and emerging technology. Our value is in our approach, characterized by the speed with which we deliver specialist solutions in digital assurance and testing, data & analytics, digital & development, cybersecurity and life sciences.

Disruption is the norm in today’s digital and business environment. How quickly companies respond to change determines their future success – and their ability to realize rapid value from existing and future technology is crucial to this. At Sogeti, we collaborate across a global network to build innovations that push boundaries. But it’s the way we work with clients that sets us apart. Our client model means we can be hands-on from day one, getting to know our customers and their businesses intimately.

We embrace the value of diversity within Sogeti and the entrepreneurial spirit of our people. If you’re looking to join a company with a proven track record of success and that deeply values its people, Sogeti Ireland offers the opportunity for you to grow and advance.

We’re on the lookout for 2 senior engineers who will work within a collaborative, agile scrum team to deliver working software from design to realisation.

You’ll be responsible for bringing technical design and business understanding together, ultimately ensuring that features are part of frequent, high-quality software deliveries.

We're looking for developers who want to join a client-focused team. For us, it’s not just about having the right software development background, you need to be pragmatic, be able to work collaboratively and be driven to learn and succeed.

You should be comfortable with detail and complexity, proactively focused on pursuing new ways of implementing product solutions to business defined requirements. Naturally, this position requires strong communication skills, plus both business and technical focus.

As Data Engineer you will work on the development of data services in support of Enterprise Data Lakes and Analytics Platforms.

In this role you will deal with a variety of different tools and technologies. You will craft secure, scalable, resilient cloud-based services.

Key responsibilities

  • Produce scalable, resilient, cloud-based systems design aligned with client long-term strategy.
  • Simplify and effectively communicate technical challenges, solutions options, and recommendations to clients’ business partners and technology leadership.
  • Recognise opportunities to bring emerging technologies to deliver innovative solutions to meet business challenges.
  • Understand detailed requirements and deliver solutions that meet or exceed client expectations.
  • Take ownership and accountability for delivery of solutions
  • Be Adaptable to a changing and challenging workload.
  • 5 years of related experience in data engineering.
  • Strong experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), ideally an Cloud Data warehousing services. Ability to perform deep data analysis on multiple database platforms.
  • Scripting/coding experience in any of the following: Python, Unix, Java.
  • Expertise in / knowledge of all aspects of data movement technologies (ETL/ELT) and experience with schedulers. Ability to develop ELT/ETL pipelines to move data to and from data stores.
  • Strong appetite for cloud-based data engineering. Experience in working with AWS, MS Azure or other cloud providers.
  • Knowledge and expertise of data modelling techniques and best practices.
  • Familiarity with release management best practices.
  • Awareness of Data Architecture (Database design, performance optimization).
  • Experience with DevOps, Continuous Integration and Continuous Delivery. Developing and deploying pipelines. Proven track record of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following design & coding best practices.