Data Engineer

Scienceabode; Remote; GBP 40,000 - 55,000; Full time

Job summary

A tech company specializing in data engineering is seeking a Junior – Mid Level Data Engineer to join their remote team. This role involves working on a major migration project, focusing on building and maintaining ETL/ELT pipelines with Databricks and Azure. Candidates should have 1 to 4 years of data engineering experience, strong SQL and Python skills, and a familiarity with CI/CD concepts. The position offers a salary of £40,000 to £55,000, depending on experience.

Qualifications

• 1 – 4 years’ experience in data engineering or analytics engineering is required.
• Strong experience with SQL and Python is essential.
• Familiarity with Databricks and Azure services is necessary.

Responsibilities

• Build, run and maintain ETL/ELT pipelines on Databricks / Azure.
• Implement data transformations and quality checks.
• Support migration of legacy jobs into Databricks.

Skills

Data engineering experience

SQL

Python

Databricks

Azure Data Factory

CI/CD concepts

Job description

Data Engineer / Junior – Mid Level / £40,000 – £55,000 / Remote (UK) / 6-month FTC

We’re recruiting a Junior – Mid level Data Engineer to join a cloud‑first data team working on a major migration programme. This is a hands‑on role for someone who wants to grow their data engineering skills while helping move legacy ETL into a modern Databricks + Azure platform.

Why this role?

You’ll play a visible part in a large migration project – re‑platforming and modernising pipelines, improving data quality, and helping the team adopt CI/CD for data workloads. Great mentoring and exposure to end‑to‑end pipelines.

Day‑to‑day

• Build, run and maintain ETL/ELT pipelines on Databricks / Azure.
• Implement data transformations, data quality checks and monitoring.
• Support migration of legacy jobs into Databricks notebooks / jobs.
• Work within CI/CD pipelines for testing and deployment.
• Collaborate with engineers, analysts and product owners to deliver features.

Must‑haves

• 1 – 4 years’ data engineering / analytics engineering experience.
• Experience with Databricks and Azure (Data Factory, Data Lake, SQL).
• Strong SQL + Python.
• Familiarity with CI/CD concepts (pipelines, automation).

Nice‑to‑haves

• Knowledge of data modelling and performance tuning.

Salary: £40,000 – £55,000 DOE

Location: Fully remote (UK‑based)