Junior Data Engineer

Core-Asset Consulting Ltd; City of Edinburgh; On-site; GBP 30,000 - 40,000; Full time

Job summary

A financial services organization in Edinburgh is looking for a Junior Data Engineer to enhance their Business Intelligence function. This full-time role involves collaborating with stakeholders to develop data solutions, maintaining data flows, and utilizing tools like Power BI and SQL. The ideal candidate will have a degree in a relevant field and experience with data manipulation, cloud platforms, and strong analytical skills. The position offers a competitive salary and a comprehensive benefits package.

Benefits

Highly competitive salary

Wider benefits package

Qualifications

• Degree in Computer Science, Data Engineering, or related field required.
• Relevant industry experience preferred.
• Experience with SQL and Python is a plus.

Responsibilities

• Collaborate with stakeholders to translate requirements into data solutions.
• Maintain data flows between internal systems.
• Build and maintain Power BI and Tableau dashboards.

Skills

Excel and data manipulation

SQL

Python

Understanding of cloud-based data platforms

Data modelling in Power BI/Tableau

Communication skills

Analytical skills

Education

Degree in Computer Science, Data Engineering or related STEM discipline

Tools

Power BI

Tableau

SSMS

VS Code

Microsoft Power Platform

Job description

Job Description

Core-Asset Consulting is working with a specialist financial services organisation to recruit a Junior Data Engineer to join its growing Business Intelligence function.

This is an excellent opportunity for a technically curious and detail-oriented individual to develop their data engineering career in a collaborative, fast-growing environment. The role offers exposure across the business, working on data solutions that support insight, reporting and decision-making. This position will be full time office based in Edinburgh.

Essential Skills and Experience

• Degree in Computer Science, Data Engineering or a related STEM discipline, or equivalent practical experience.
• Relevant industry experience.
• Strong Excel and data manipulation skills; experience with SQL and Python preferred.
• Understanding of cloud-based data platforms (e.g., Azure, AWS or GCP) and API-based data integration.
• Experience with workflow automation and data integration tools.
• Familiarity with data modelling in Power BI and/or Tableau.
• Exposure to tools such as SSMS, VS Code and the Microsoft Power Platform.
• Understanding of data architecture, database management and data governance.
• Strong analytical skills, attention to detail and logical problem‑solving ability.
• Confident communicator, comfortable working with both technical and non‑technical stakeholders.

Core Responsibilities

• Collaborate with stakeholders to understand requirements and translate them into scalable data solutions.
• Develop, maintain and enhance data flows between internal systems.
• Monitor data accuracy, system performance and refresh reliability.
• Support the design and optimisation of cloud‑based SQL tables, views and stored procedures.
• Build and maintain data models, reports and dashboards using Power BI and Tableau.
• Automate data movement and manual processes using available integration tools.
• Document data workflows, structures and automations to support maintainability and knowledge sharing.
• Investigate, troubleshoot and resolve data or automation issues.
• Explore emerging technologies, including AI, to enhance data capability.

Benefits

• A highly competitive salary
• Wider Benefits package

Core-Asset Consulting is an equal opportunities recruiter and we welcome applications from everyone irrespective of age, disability, gender, gender identity or expression, race, colour, ethnic or national origin, sexual orientation, religion or belief, marital/civil partner status or pregnancy.

Job reference: (16331)

To apply for this vacancy applicants must be eligible to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.