Data Engineer in Newtownabbey

Data Engineer in Newtownabbey

Newtownabbey Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
PA Consulting Services Ltd

At a Glance

  • Tasks: Design and build data pipelines using AWS technologies to solve complex problems.
  • Company: Join a leading consulting firm focused on innovation and positive impact.
  • Benefits: Enjoy flexible working, competitive salary, health perks, and generous leave.
  • Other info: Access to continuous learning, mentoring, and a supportive community.
  • Why this job: Be part of a dynamic team tackling real-world challenges with cutting-edge tech.
  • Qualifications: Experience in data engineering, problem-solving, and collaboration in fast-paced environments.

The predicted salary is between 50000 - 70000 £ per year.

We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.

Why consider joining our Digital & Data community?

  • Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions.
  • Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity.
  • You have the option to progress with us on a technical career track.
  • Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week.
  • Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same.
  • Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring.
  • Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications.

Our tech stack:

While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB.

What you can expect:

  • Work to agile best practices and cross-functionally with multiple teams and stakeholders.
  • You'll be using your technical skills to problem solve with our clients, as well as working on internal projects.
  • Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams.
  • Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.

An environment that deeply cares about its values.

You'll work alongside colleagues from across PA - delivering transformative digital solutions to today's most complex business challenges. You'll be designing and building for the AWS cloud.

Qualifications:

Essential requirements:

  • You thrive in problem-solving and analytical thinking.
  • You enjoy collaborating with multiple stakeholders in a fast-paced environment.
  • Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL.
  • Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc.
  • Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.

Additional information:

Assessment process:

  • Quick call with one of our Tech Recruiters - to discuss your application, the role and PA.
  • Round 1: Either a competency or technical interview (60 mins).
  • Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins).
  • Final round: Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins).

Life At PA encompasses our peoples' experiences about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.

Check out some of our extensive benefits:

  • Health and lifestyle perks accompanying private healthcare for you and your family.
  • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days.
  • Generous company pension scheme.
  • Opportunity to get involved with community and charity-based initiatives.
  • Annual performance-based bonus.
  • PA share ownership.
  • Tax efficient benefits (cycle to work, give as you earn).

We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups.

Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

To be considered for this role you will be redirected to and must complete the application process on our careers page.

Data Engineer in Newtownabbey employer: PA Consulting Services Ltd

At PA Consulting, we foster a dynamic and inclusive work culture that champions innovation and personal growth. As a Data Engineer, you'll collaborate with diverse teams on exciting projects across various sectors, benefiting from hybrid working arrangements and a strong emphasis on continuous learning. With extensive health perks, generous leave policies, and a commitment to equality, PA is dedicated to enriching your professional journey while making a meaningful impact in the world.

PA Consulting Services Ltd

Contact Details:

PA Consulting Services Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in Newtownabbey

Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!

Tip Number 2

Prepare for those interviews! Research the company, understand their tech stack, and be ready to discuss how your skills fit into their projects. Practice common interview questions with a mate.

Tip Number 3

Show off your problem-solving skills! Be ready to tackle real-world scenarios during interviews. Think out loud and demonstrate your thought process – they want to see how you approach challenges.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our awesome team!

We think you need these skills to ace Data Engineer in Newtownabbey

AWS Cloud Technologies
ETL Pipeline Design
Data Warehouse Design
Data Lake Design
Data Movement
Java
Python

Some tips for your application 🫡

Be Yourself:When you're writing your application, let your personality shine through! We want to see the real you, so don’t be afraid to show your passion for data engineering and how you can contribute to our team.

Tailor Your Application:Make sure to customise your application to highlight your experience with AWS and data pipelines. We love seeing how your skills align with what we do, so don’t hold back on showcasing relevant projects or achievements!

Keep It Clear and Concise:While we appreciate detail, clarity is key! Make your application easy to read by using bullet points and clear headings. This helps us quickly see why you’d be a great fit for our Data Engineer role.

Apply Through Our Website:Don’t forget to apply through our careers page! It’s the best way to ensure your application gets to us directly. Plus, it’s super easy to navigate, so you can focus on making your application shine.

How to prepare for a job interview at PA Consulting Services Ltd

Know Your Tech Stack

Familiarise yourself with the specific technologies mentioned in the job description, especially AWS services like EMR, Glue, and RedShift. Be ready to discuss how you've used these tools in past projects or how you would approach using them in a new context.

Showcase Problem-Solving Skills

Prepare examples of how you've tackled complex data challenges in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting your analytical thinking and collaborative efforts.

Understand Agile Practices

Since the role involves working in agile environments, brush up on agile methodologies. Be prepared to discuss how you've contributed to agile teams and how you adapt to changing project requirements.

Engage in the Mini Case Study

In the final round, you'll face a mini case study. Practice articulating your thought process clearly and concisely. Focus on client-centric solutions and demonstrate your ability to think critically under pressure.