Job Description

Role Overview

We are seeking a skilled

Data Engineer / Data Analytics Engineer

to design, build, and maintain scalable data pipelines and analytics solutions. The role focuses on data ingestion, transformation, quality management, and enabling high-quality analytics through robust data modeling and processing frameworks.

Key Responsibilities

Design, develop, and maintain end-to-end

data ingestion and processing pipelines

. Build and optimize

data models

to support analytics and reporting use cases. Ensure high standards of

data quality, accuracy, and consistency

across datasets. Perform

data cleansing, validation, and transformation

on large-scale datasets. Develop efficient and reusable

data processing applications

using Python and PySpark. Integrate data from multiple sources using streaming and batch-processing frameworks. Collaborate with analytics, product, and business teams to translate requirements into technical solutions. Implement monitoring, logging, and performance tuning for data workflows. Maintain code quality and version control using Git and best engineering practices.

Areas of Expertise

Data Analytics & Reporting Enablement Data Modelling & Warehousing Concepts Data Quality Management Data Ingestion & Integration Data Cleansing & Processing Software Development for Data Platforms

Technical Skills (Required)

Python

for data processing and automation

SQL

for data querying and transformation

PySpark

for large-scale data processing

Apache Airflow

for workflow orchestration

Apache Kafka

for real-time data streaming

Apache NiFi

for data ingestion and flow management

Elasticsearch

for search and analytics use cases

Git

for version control and collaboration

Nice to Have

Experience with cloud-based data platforms Knowledge of distributed systems and big data architectures Familiarity with CI/CD pipelines for data applications

Experience & Qualifications

3+ years of experience in Data Engineering, Analytics Engineering, or a related role Strong understanding of data pipelines, ETL/ELT processes, and data lifecycle management Ability to work in an agile, fast-paced environment.
Job Type: Fixed term contract
Contract length: 6 months

Pay: 41,224.49-78,034.81 per year

Work Location: Hybrid remote in London WC2N