Job Description

!! Immediate Joiners !!

Job Title:

Junior Big Data Developer (Python & SQL)

Location:

London

Employment Type:

Full-Time

Department:

Data Engineering / Big Data

About the Role

We are seeking a motivated

Junior Big Data Developer

with strong skills in

Python

and

SQL

to join our growing data engineering team. In this role, you will help design, build, and maintain large-scale data processing systems that enable analytics, reporting, and machine learning initiatives. This position is ideal for someone with a passion for data and a desire to develop technical expertise in

Big Data technologies

.

Key Responsibilities

Assist in the

development, testing, and maintenance of big data pipelines

for processing large volumes of structured and unstructured data. Write

efficient Python scripts

for data ingestion, transformation, and automation. Develop and optimize

SQL queries

to extract, clean, and manipulate data from various databases. Work with

ETL tools

and

data integration frameworks

to move data across systems. Collaborate with data engineers, data scientists, and analysts to ensure reliable data flow and accessibility. Monitor and troubleshoot data pipeline performance issues. Maintain data quality, consistency, and integrity across all data sources. Document technical workflows and participate in code reviews.

Required Qualifications

Bachelor's degree in

Computer Science, Information Technology, Data Engineering

, or a related field. Strong programming skills in

Python

(experience with libraries such as pandas, PySpark, or SQLAlchemy is a plus). Proficiency in

SQL

with hands-on experience writing complex queries, joins, and data manipulations. Basic understanding of

data warehousing

concepts and

ETL processes

. Familiarity with

Big Data ecosystems

such as

Hadoop, Spark, Hive, or Kafka

. Knowledge of

Linux/Unix environments

and command-line tools. Strong analytical, problem-solving, and communication skills. Eagerness to learn and adapt to new tools and technologies in the data engineering domain.

Preferred Qualifications

Exposure to

cloud platforms

like

AWS (Glue, EMR, Redshift)

,

Azure (Data Factory, Synapse)

, or

Google Cloud (BigQuery, Dataflow)

. Experience working with

data lakes

or

data warehouse architectures

. Familiarity with

version control systems

(Git) and

CI/CD pipelines

. Internship, coursework, or project experience related to

big data

or

data pipeline development

.

What We Offer

Mentorship and hands-on experience with

modern big data technologies

. Opportunities for professional growth in

data engineering and analytics

. Competitive salary and comprehensive benefits. A collaborative, learning-oriented environment that values innovation and teamwork. Access to training resources and certifications in

cloud and big data platforms

.
Job Types: Full-time, Permanent

Pay: 35,000.00-45,000.00 per year

Ability to commute/relocate:

London: reliably commute or plan to relocate before starting work (preferred)
Application question(s):

Request you to mention your visa type. We must fill this position urgently. Can you start immediately?
Education:

Bachelor's (preferred)
Application deadline: 14/01/2026