Junior Data Engineer

Information Tech Consultants
Greater London, UK
about 1 month ago
Apply on uk.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
2 years minimum
Compensation
£35,000.0 - £45,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Big Data Databases Data Validation Information Engineering Extract Transform Load (ETL) Data Systems Relational Databases Database Queries Software Debugging Document-Oriented Databases JSON
+10 more
Python (Programming Language) Standard Sql SQL Databases Data Processing Git Pandas Information Technology Data Inconsistencies Software Version Control Data Pipelines

Job description

We are looking for a motivated and enthusiastic Junior Data Engineer to join our growing data team. This is an excellent opportunity for IT professionals looking to develop or transition into Data Engineering.

You will work with Python and SQL to collect, transform, validate, and process data from different sources. You will also work closely with Data Engineers, Data Analysts, and other technical teams to build reliable and high-quality data solutions.

You will receive guidance and mentoring from experienced team members while gaining hands-on experience with real-world data engineering projects., * Develop and maintain data processing scripts using Python.

  • Write SQL queries to extract, transform, and analyse data.
  • Build and support basic ETL/ELT data pipelines.
  • Extract data from databases, APIs, CSV files, and other sources.
  • Clean, transform, and validate datasets using Python.
  • Perform data quality checks and investigate data inconsistencies.
  • Work with relational databases and maintain data tables.
  • Automate repetitive data-processing and reporting tasks.
  • Monitor data pipelines and troubleshoot basic errors.
  • Document data processes, workflows, and technical solutions.
  • Collaborate with Data Analysts and other engineering teams to understand data requirements.
  • Follow best practices for coding, testing, documentation, and version control.

Requirements

Python

  • Good understanding of Python fundamentals.
  • Ability to write clean and maintainable Python code.
  • Familiarity with data manipulation using Pandas.
  • Understanding of functions, loops, conditions, lists, dictionaries, and error handling.
  • Basic understanding of reading and processing files such as CSV and JSON.
  • Ability to troubleshoot and debug basic Python code.

SQL

  • Good understanding of SQL fundamentals.
  • Experience writing queries using, * Basic understanding of window functions is desirable.
  • Understanding of relational databases and primary/foreign keys.

Nice-to-have skills:

  • Basic understanding of ETL/ELT and data pipelines.
  • Strong analytical and problem-solving skills.
  • Good attention to detail.
  • Ability to work with large datasets.
  • Familiarity with Git/version control is desirable.
  • Good communication and teamwork skills.
  • Strong willingness to learn new technologies and concepts

Additional Requirements

  • 2-5 years of relevant professional experience
  • Bachelor’s degree in Computer Science, IT, Engineering, or a related field
  • Applicants should be open to relocation within the UK based on client project requirements.

About the company

Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We specialize in sourcing and hiring experienced technology professionals for client projects across the UK. Our clients include Fortune 500 companies in the UK.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on uk.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

56 sec

Introduction to analytical data formats for software developers

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

Videos

See all

Related articles

See all