Data Engineer

Xibis Ltd
Newcastle upon Tyne
3 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - AI Analytics and EdTech Developments

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Join to apply for the Data Engineer role at Xibis Ltd


Position ID: J1125-1748 • Employment Type: Full Time • Main location: United Kingdom, UK Wide - Various


We are looking for a Data Engineer to work with modern cloud, data, and automation technologies to design and deliver high‑value data solutions for Scotland’s digital landscape.


Your Future Duties And Responsibilities

In this role, you will design, build and maintain data pipelines and platforms that underpin major transformation programmes across Scotland. You’ll work with cloud technologies, modern data tooling and large-scale datasets to create reliable, high‑performing data solutions.


Key Responsibilities



  • Design & Build: Develop scalable data pipelines, ETL/ELT processes and data architectures.
  • Engineer & Optimise: Improve performance across big‑data environments using modern tools and platforms.
  • Collaborate & Deliver: Work with Agile teams to deliver secure, high‑quality data solutions.
  • Integrate & Automate: Support CI/CD practices and infrastructure for data engineering workflows.
  • Analyse & Innovate: Introduce new techniques and technologies that enhance data processing and insights.
  • Support & Evolve: Contribute to best practices, standards and continuous improvement across the team.

Required Qualifications To Be Successful In This Role

You’ll bring strong hands‑on experience in modern data engineering, working with cloud platforms, big‑data tools and pipeline technologies. You should be comfortable operating in Agile teams, designing scalable solutions and working with varied datasets and architectures.


Essential Qualifications

  • Proficiency in scripting languages (Python, PowerShell, SQL, Scala or Spark‑SQL)
  • Experience with cloud platforms (AWS, Azure or GCP)
  • Hands‑on expertise with Databricks, Spark, Kafka or similar tooling
  • Knowledge of relational/NoSQL technologies (e.g., Postgres, Cassandra)
  • Experience with ETL/ELT and workflow orchestration tools (Talend, Matillion, Informatica, Glue or ADF)
  • Data warehousing experience
  • Proven ability to build and optimise big‑data pipelines

Desirable Qualifications

  • Knowledge of CI/CD tooling and automation (Jenkins, GitHub, Terraform, Ansible, Kubernetes)
  • Degree in Computer Science, Statistics, Information Systems or equivalent experience

Skills

  • PowerShell
  • Python
  • Amazon Relational Database Service

What You Can Expect From Us

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…


You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.


Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.


You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well‑being and provide you with opportunities to deepen your skills and broaden your horizons.


Come join our team—one of the largest IT and business consulting services firms in the world.


Due to the secure nature of our programmes, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position.


CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.