Senior Data Engineer — Cloud Migration Expert

🏢 ABOUT THE COMPANY

Indeed is a leading job search platform founded in 2004, with a mission to help people get jobs and help employers find the right candidates. With over 250 million unique visitors every month, Indeed is one of the most popular job search platforms in the world. We pride ourselves on our fast-paced and dynamic culture, where innovation and experimentation are encouraged. Our team of experts is dedicated to providing the best possible experience for both job seekers and employers, with a focus on delivering high-quality matches and helping people find their dream jobs.

🎯 ROLE OVERVIEW

We're looking for a highly skilled Senior Data Engineer to join our cloud migration team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining large-scale data pipelines and architectures on the cloud. You will work closely with our data scientists to develop and deploy machine learning models, and collaborate with our engineering teams to ensure seamless integration with our product infrastructure. You will report directly to our Director of Engineering and will be responsible for mentoring junior engineers and leading projects.

📋 KEY RESPONSIBILITIES

- Design and implement large-scale data pipelines and architectures on the cloud, using tools such as Apache Beam, Apache Spark, and AWS Glue.

- Develop and deploy machine learning models using popular frameworks such as TensorFlow and PyTorch.

- Collaborate with data scientists to develop and deploy data products, such as dashboards and data visualizations.

- Work closely with our engineering teams to ensure seamless integration with our product infrastructure.

- Lead projects and mentor junior engineers, providing guidance and support as needed.

- Participate in code reviews and ensure high-quality code is delivered to production.

- Stay up-to-date with the latest cloud and data technologies, and apply this knowledge to improve our infrastructure and services.

- Develop and maintain technical documentation, including architecture diagrams and technical guides.

✅ REQUIRED QUALIFICATIONS

- 8+ years of experience in data engineering, with a focus on cloud-based architectures.

- Bachelor's degree in Computer Science or a related field.

- Expert-level knowledge of cloud-based data platforms, such as AWS, GCP, or Azure.

- Strong skills in programming languages such as Java, Python, or C++.

- Experience with data integration tools, such as Apache NiFi or AWS Glue.

- Strong understanding of data processing frameworks, such as Apache Beam or Apache Spark.

- Experience with containerization, such as Docker or Kubernetes.

⭐ PREFERRED QUALIFICATIONS

- Master's degree in Computer Science or a related field.

- Experience with machine learning frameworks, such as TensorFlow or PyTorch.

- Strong skills in data visualization tools, such as Tableau or Power BI.

- Experience with cloud-based security and compliance tools, such as AWS IAM or Azure AD.

💰 WHAT WE OFFER

We offer a competitive salary range of £60,000 - £80,000 per annum, depending on experience.

- 25 days of annual leave, plus bank holidays.

- 10% employer-matched pension scheme.

- Access to a learning and development budget, with opportunities to attend conferences and training courses.

- Flexible remote working policy, with the option to work from home or our offices.

- Collaborative and dynamic team culture, with opportunities to work on high-profile projects and contribute to the success of the company.

👥 ABOUT THE TEAM

Our cloud migration team is a group of expert engineers who are passionate about designing and implementing large-scale cloud architectures. We work closely with our data scientists to develop and deploy machine learning models, and collaborate with our engineering teams to ensure seamless integration with our product infrastructure. We're a highly collaborative team, with a focus on delivering high-quality results and a commitment to innovation and experimentation.

📨 HOW TO APPLY

To apply for this role, please submit your CV and a cover letter explaining why you're the perfect fit for this position. We look forward to hearing from you!

📋 Job Details

Job Type	🌐 Remote
Location	Remote, GB
Address	123 Main Street, SW1A 0AA
Salary	GBP 60,000 – 80,000 / year
Industry	General
Company	Indeed
Valid Until	2026-10-13

📨 How to Apply

Submit your updated CV and a brief cover letter to Indeed. Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted within 2 weeks of applying.