AWS Data Engineer in Poplar

AWS Data Engineer in Poplar

Poplar Full-Time No working from home possible
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AWS Data Engineer

If the following job requirements and experience match your skills, please ensure you apply promptly.

  • LondonSalary: 60,000-75,000 Dependent on ExperienceLondon: Hybrid working
  • 3 days per week in the office, 2 days home-basedJob Ref: J13171An 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.

Key Responsibilities·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.

Essential Skills and Experience·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! Please note we can only accept applications from those with current UK working rights for this role.

This client cannot offer visa sponsorship. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us.

For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. xgikmsk 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:

AWS Data Engineer in Poplar employer: Datatech Analytics

Datatech Analytics is an exceptional employer located in the vibrant City of London, offering a dynamic work culture that fosters collaboration and innovation. As a Trading Operations Graduate Analyst, you will benefit from comprehensive training and mentorship, ensuring your professional growth while working alongside industry experts in a fast-paced environment. With a commitment to employee well-being and a focus on meaningful contributions to global trading operations, Datatech Analytics provides a rewarding career path for ambitious graduates.

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Contact Details:

Datatech Analytics Recruitment Team