Job Description

Job Title:

Data Engineer

Location:

United Kingdom (Hybrid/Remote options available)

Experience Required:

0-8 years

Employment Type:

Full-time

About the Role

We are looking for passionate and analytical

Data Engineers

to design, develop, and maintain scalable data pipelines and systems that empower business insights and analytics. The ideal candidate will work closely with data scientists, analysts, and software engineers to ensure efficient data flow and high-quality data across the organization.

Key Responsibilities

Design, build, and maintain

ETL/ELT pipelines

to collect, process, and transform large volumes of structured and unstructured data. Integrate data from various sources including APIs, databases, and third-party services. Develop and optimize

data models

, warehouses, and lake architectures for analytics and reporting. Ensure

data quality, reliability, and security

across all systems. Work with

cloud platforms

such as AWS, Azure, or GCP to deploy and monitor data infrastructure. Collaborate with

data analysts, data scientists, and business teams

to deliver accessible, high-performance datasets. Implement

best practices in data engineering

, including version control, testing, and CI/CD for data pipelines. Monitor data flows and troubleshoot pipeline or performance issues.

Skills & Qualifications

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field.

Technical Skills

Programming:

Python, SQL, Scala, or Java.

Data Processing Tools:

Apache Spark, Kafka, Airflow, Hadoop, or similar.

Database Systems:

Experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases.

Cloud Platforms:

AWS (Glue, Redshift, EMR), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).

Data Modeling:

Star/Snowflake schemas, dimensional modeling.

Version Control:

Git/GitHub, CI/CD workflows.

Containerization:

Docker, Kubernetes (optional for senior roles).

Data Visualization (Plus):

Power BI, Tableau, or Looker understanding.
Job Types: Full-time, Permanent

Pay: 25,000.00-35,000.00 per year

Benefits:

* Work from home