Graduate Data Engineer (6 months FTC)

Graduate Data Engineer (6 months FTC)

Posted Today by bigspark

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Negotiable
Undetermined
Hybrid
Glasgow, Scotland, United Kingdom
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Advanced Mathematics Artificial Intelligence Banking Cloud Computing Cloud Technology Computer Science Data Engineering Data Processing Data Quality Data Science General Insurance Generic Programming Google Cloud Platform (GCP) Java (Programming Language) Microsoft Azure Python (Programming Language) Scala (Programming Language) Software Development Software Engineering SQL (Programming Language) Unstructured Data Workflows

Summary: The role of Junior/Graduate Data Engineer at Bigspark offers an exciting opportunity for recent graduates to kick-start their careers in data engineering. The position involves working alongside experienced engineers to design and build data solutions that support analytics and business decision-making. The role is hybrid, requiring two days per week on-site in Glasgow, and focuses on hands-on experience with modern data technologies. Candidates will develop their technical skills while contributing to the development of data pipelines and ETL/ELT processes.

Key Responsibilities:

  • Support the development of data pipelines and ETL/ELT processes using modern tools and frameworks.
  • Assist with integrating and processing structured and unstructured data across cloud platforms.
  • Collaborate with senior engineers and architects to design and deliver high-quality data solutions.
  • Learn to work with batch and streaming data processing technologies.
  • Contribute to maintaining data quality, governance, and security standards.
  • Get involved in testing, monitoring, and documenting data workflows.
  • Continuously learn and upskill in emerging tools, technologies, and best practices.

Key Skills:

  • A degree (or equivalent experience) in Computer Science, Data Science, Software Engineering, Mathematics, or a related field.
  • Some programming experience with Python, Java, or Scala (university, projects, or internships all count).
  • Familiarity with SQL and working with databases.
  • Awareness of cloud platforms (AWS, Azure, or GCP) and a willingness to develop expertise.
  • An interest in data engineering concepts such as data pipelines, data lakes/warehouses, and streaming data.
  • Problem-solving skills and a logical approach to technical challenges.
  • A growth mindset and enthusiasm for continuous learning.

Salary (Rate): undetermined

City: Glasgow

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: Entry Level

Industry: IT

Detailed Description From Employer:

Junior/Graduate Data Engineer - 6 Months FTC - Glasgow - Hybrid 2 days per week on site

About Bigspark

We are creating a world of opportunity for businesses by responsibly harnessing data and AI to enable positive change. We adapt to our clients needs and then bring our engineering, development and consultancy expertise. Our people and our solutions ensure they head into the future equipped to succeed. Our clients include Tier 1 Banking and Insurance clients, we have also been listed in the Sunday Times Top 100 Fastest Growing Private Companies.

The Role

Were looking for a Graduate / Junior Data Engineer to join our growing team. This is an exciting opportunity to kick-start your career in data engineering, working alongside experienced engineers to design and build modern data solutions that power analytics, AI, and business decision-making. Youll gain hands-on experience across a range of technologies, learn best practices from senior mentors, and develop the technical and professional skills needed to grow into a fully-fledged Data Engineer. This role offers a mix of remote working and visits to our Glasgow client sites.

What Youll Do

  • Support the development of data pipelines and ETL/ELT processes using modern tools and frameworks.
  • Assist with integrating and processing structured and unstructured data across cloud platforms.
  • Collaborate with senior engineers and architects to design and deliver high-quality data solutions.
  • Learn to work with batch and streaming data processing technologies.
  • Contribute to maintaining data quality, governance, and security standards.
  • Get involved in testing, monitoring, and documenting data workflows.
  • Continuously learn and upskill in emerging tools, technologies, and best practices.

What Youll Bring

We dont expect you to know everything from day one but were looking for people who are motivated to learn, curious about data, and excited about building a career in technology. Ideally, youll bring:

  • A degree (or equivalent experience) in Computer Science, Data Science, Software Engineering, Mathematics, or a related field.
  • Some programming experience with Python, Java, or Scala (university, projects, or internships all count).
  • Familiarity with SQL and working with databases.
  • Awareness of cloud platforms (AWS, Azure, or GCP) and a willingness to develop expertise.
  • An interest in data engineering concepts such as data pipelines, data lakes/warehouses, and streaming data.
  • Problem-solving skills and a logical approach to technical challenges.
  • A growth mindset and enthusiasm for continuous learning.
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