AWS Data Engineer

Datatech Analytics
London, UK
1 day ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£60,000.0 - £75,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Big Data Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Systems Data Visualization Python (Programming Language) SQL Databases Apache Spark AWS Data Analytics Data Pipelines

Job description

An exciting opportunity for a Data Engineer to join a growing technology business specialising in consumer data and analytics.

Working within a small, talented team of engineers, analysts and data scientists, you’ll play a hands-on role in developing and improving the data platform, building scalable data pipelines and working with large volumes of consumer data.

Strong coding fundamentals across Python, SQL and Spark are key, alongside a genuine interest in how AI is changing data engineering. You’ll already be using AI-assisted development tools such as Claude in your day-to-day work, while having the technical knowledge to understand, review and challenge the code they produce.

This is an opportunity to join a collaborative startup environment where you can explore new technologies, contribute ideas and have a genuine impact as the business continues to scale., ·Design, build and optimise scalable data pipelines and ETL/ELT processes. ·Develop and maintain data engineering solutions using Python, SQL and Spark. ·Work with large and complex datasets, ensuring data quality, reliability and performance. ·Use AI-assisted development tools to support coding, problem solving and delivery. ·Collaborate with engineering, analytics and data science teams to develop effective data solutions. ·Identify opportunities to automate processes and improve the scalability and efficiency of data workflows.

Requirements

·Strong hands-on data engineering experience. ·Strong coding fundamentals across Python and SQL. ·Hands-on experience working with Spark for large-scale data processing. ·Hands-on experience working with AWS data services. ·Experience designing and developing scalable data pipelines and ETL/ELT processes. ·Practical experience using AI-assisted development tools such as Claude within your day-to-day work. ·Strong communication skills and the ability to work effectively within a fast-moving, collaborative environment.

If you’re a Data Engineer who understands the fundamentals but is also excited about how AI is changing the way engineers work, want to hear from you. Apply today!

About the company

Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk

Apply for this position

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

Apply on datatech.org.uk

Good distractions

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

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

1:59 min

Evolving roles in AI driven software teams

Ignacio Riesgo Ignacio Riesgo +1 · WWC 2024

Videos

See all

Related articles

See all