Data Engineer

Posted 6 Days Ago
Be an Early Applicant
Dublin
Entry level
Other • Software
The Role
The Data Engineer will oversee the company’s data systems, optimize data assets for commercial benefit, and support the development of data infrastructure. Responsibilities include creating and maintaining database infrastructure, assembling complex data sets, and collaborating with stakeholders to address data-related technical issues.
Summary Generated by Built In

Description

The Company

Founded in 2009, Cubic Telecom has grown to become one of the leading providers of connectivity solutions and analytics services that help vehicle and IoT device manufacturers manage and grow revenue streams. Fast paced, smart, ambitious, and continually seeking new, ideas. That’s us, is it you? At Cubic you will find an environment filled with energy and collaboration, where we set out every day to improve not just the world, but ourselves and each other.

We believe in leadership that supports empowerment and responsibility, while recognising and developing leadership qualities across Our Team. Together we bring out the best in each other. We look for people who are results focused, empathetic, visionary, empowering, and who ‘champion’ our cultures and values others.

The Role

We are looking for a curious Data engineer to help us on our journey of building a best-in-class data and analytics infrastructure. We are using some of the latest and best tools in our goal to create excellent data management and data structure. We want to deliver exceptional data products and internal data driven support.

Our focus is on optimising the data resource and developing strategic growth plans and commercial strategies for the businesses.

Your key responsibilities will be to oversee our company’s data systems, optimise the data assets for commercial benefit and use and support in the development and optimisation of the data infrastructure.

You will learn from and be supported by a stable team of experts and the role will allow you to stand out and ultimately progress within the company.

Key responsibilities

  • Create and maintain pipelines and database architecture
  • Create and maintain database infrastructure
  • Help assemble large, complex sets of data that meet non-functional and functional business requirements
  • Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Support in building required infrastructure for optimal extraction, transformation and loading of data from various data sources.
  • Support in the building of the analytical tools to utilize the data pipeline
  • Work with organisation stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
  • Working with stakeholders including the Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
Requirements
  • Experience in a Computer Science, Data Engineering or relevant field.
  • Strong problem solving with ability to scope, structure and solve complex issues with high levels of ambiguity
  • Ability to work alone or within a group.
  • Curios and committed to finding solutions
Benefits
  • 25 days annual leave + 2 company days
  • Health Insurance
  • Pension Contribution
  • Income Protection
  • ESOP
  • Tax saver scheme
  • Bike to work scheme
  • Sports and social activities
  • Great annual office outings (Summer BBQ, Christmas party, charity runs)
  • Bits & Bobs days (Half day every quarter to get your Bits & Bobs done)
  • Learning and Development Opportunities

Cubic Telecom is an equal opportunities employer and committed to fostering a diverse and inclusive workplace.

Top Skills

Data Engineering
The Company
HQ: Sandyford, County Dublin
197 Employees
On-site Workplace
Year Founded: 2009

What We Do

Cubic Telecom delivers innovative IoT connected software solutions to Automotive & Agriculture manufacturers. Its ecosystem of revenue-generating services combines real-time analytics with global connectivity in 190 countries, always aligned to regional regulatory requirements.  

 Its global connected software platform PACE is used by leading companies around the world including Audi, Kymeta, Volkswagen, CNH Industrial, Skoda, e.GO Mobile and Arrival.  

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