Data Engineer

Fynity

England

Remote

GBP 63,000 - 77,000

Full time

14 days+

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Job summary

A leading digital transformation consultancy is looking for a Remote Data Engineer to design and implement ETL pipelines for high-profile government clients. The role requires expertise in Python, Spark, and AWS services. Candidates must have hands-on experience with big data technologies and cloud-native services. This position offers the chance to work in a fast-paced environment and make a significant impact in digital transformation efforts. Competitive salary of up to £70,000 is offered with occasional visits to London.

Qualifications

Hands-on experience designing and implementing ETL pipelines.
Expertise in Python, PySpark, and SQL.
Experience with cloud-native services on AWS.

Responsibilities

Design and implement ETL pipelines for complex datasets.
Leverage big data tools for scalable solutions.
Collaborate with stakeholders to ensure data quality.
Utilize programming expertise for efficient data processing.
Build data pipelines using cloud-native AWS services.
Monitor and optimize data solutions.

Skills

ETL design and implementation

Python

SQL

Apache Spark

Apache Airflow

AWS services

IAC using Terraform

CI/CD workflows using GitHub Actions

Job description

Practice Lead @ Fynity | Building Architecture and Product teams for leading orgs across the UK & Europe

Data Engineer – SC Cleared (or Clearable)

Location: Remote/ London occasional visits to London

Salary: Up to £70,000

Start Date: ASAP

About the Role

Join a dynamic Digital Transformation Consultancy as a Data Engineer and play a pivotal role in delivering innovative, data‑driven solutions for high‑profile government clients. You’ll be responsible for designing and implementing robust ETL pipelines, leveraging cutting‑edge big data technologies, and driving excellence in cloud‑based data engineering.

This role offers the opportunity to work with leading technologies, collaborate with data architects and scientists, and make a significant impact in a fast‑paced, challenging environment.

Key Responsibilities:

Design, implement, and debug ETL pipelines to process and manage complex datasets.
Leverage big data tools, including Apache Kafka, Spark, and Airflow, to deliver scalable solutions.
Collaborate with stakeholders to ensure data quality and alignment with business goals.
Utilize programming expertise in Python, Scala, and SQL for efficient data processing.
Build data pipelines using cloud‑native services on AWS, including Lambda, Glue, Redshift, and API Gateway.
Monitor and optimise data solutions using AWS CloudWatch and other tools.

What We’re Looking For:

Good hands‑on experience of designing, implementing, debugging ETL pipeline
Expertise in Python, PySpark and SQL languages
Expertise with Spark and Airflow
Experience of designing data pipelines using cloud native services on AWS
Extensive knowledge of AWS services like API Gateway, Lambda, Redshift, Glue, Cloudwatch, etc.
Iac experience of deploying AWS resources using terraform
Hands‑on experience of setting up CI/CD workflows using GitHub Actions

SC Clearance Criteria:

Must be a British Citizen or have resided in the UK for at least 5 consecutive years.
Detailed employment history for the past 10 years or longer may be required.

Why Join Us?

Be part of a forward‑thinking consultancy driving digital transformation for industry leaders.
Work with the latest big data and cloud technologies.
Collaborate with a team of skilled professionals in a fast‑paced and rewarding environment.

If you’re passionate about delivering impactful data solutions and meet the criteria for this role, we’d love to hear from you. Apply today and lead the way in digital transformation!

Seniority level