Job Description:

Job title: Junior Data Engineer

Location: Edinburgh

Hybrid role: working 2 days a week in the office

Salary: £33,000 to £39,000 pa plus 5% bonus

Contract: 12-month fixed term contract

Our market-leading financial services client is seeking an a motivated, detail focused Junior Data Engineer to join the Business Transaction Banking division.

This role involves building, optimising, and scale data pipelines and large‑scale data processing workloads in a cloud‑native environment. You will work with modern distributed data systems, contribute to data platform modernisation, and support large‑scale ingestion, transformation, and analytics workloads.

The role offers the opportunity to influence platform‑wide data patterns, contribute to cloud modernisation and be part of a multidisciplinary innovation lab focused on AI, data engineering and next‑gen platform engineering.

Key Responsibilities

• Design and deliver end‑to‑end data pipelines on cloud platforms (Google Cloud Platform preferred).
• Building scalable data workflows using distributed technologies such as Spark, Flink, Storm, or similar
• Develop robust processing and migration pipelines, including support for legacy DataStage decommissioning and modernisation.
• Work with a variety of database technologies including relational, NoSQL, MPP and columnar stores (BigQuery, Redshift, Azure SQLDW, HBase, MongoDB).
• Build optimised, scalable data models. Apply performance tuning and optimisation across storage.
• Ensure secure handling of data including authentication, authorisation, encryption.
• Implement monitoring, alerting for large‑scale distributed data workloads.
• Use orchestration tools such as Cloud Composer, Airflow or equivalent to operationalise pipelines.
• Collaborate with engineers, architects and SMEs to deliver stable, high‑quality data products.

Skills and Experience

• Strong programming skills in Java, Python or Scala.
• Experience with cloud data services (GCP preferred; Azure/AWS acceptable).
• Experience with distributed data processing frameworks such as Spark (Core/SQL/Streaming), Flink, or Storm.
• Understanding of designing scalable data models for varied access patterns.
• Working on large scale big data solutions and understanding of DevOps for data systems.
• Analytical mindset and uses a methodological approach to complete tasks.
• Resilient Confident, professional, and able to work effectively with multiple teams.

You will be a valued member of our Adecco Emerging Talent function working onsite with a market-leading organisation, initially, the assignment is 12 months with scope for extension in the future, so you need to be someone with a permanent mindset!

If you have the experience and desire to work for a well-respected organisation offering personal and professional support, growth and development, then you could be a perfect fit for the team and we want to hear from you - APPLY NOW.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

Adecco Emerging talent is an employment consultancy and operates as an equal opportunities' employer.