At a Glance
- Tasks: Design and develop scalable data pipelines using AWS services in a collaborative environment.
- Company: Join a cutting-edge technology consultancy making waves across the UK and Europe.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic team culture with excellent career advancement opportunities.
- Why this job: Be at the forefront of data engineering and contribute to innovative AI/ML projects.
- Qualifications: 5+ years in data engineering with strong AWS skills and Python proficiency.
The predicted salary is between 60000 - 80000 € per year.
Overview:
We are seeking a highly skilled AWS Data Engineer to join a cutting-edge technology consultancy delivering solutions across the UK and Europe. This role is ideal for someone with strong experience in building scalable data pipelines and working within secure, cloud-based environments. You will collaborate with data scientists, analysts, and software engineers to deliver efficient and reliable data solutions that support analytics, reporting, and AI/ML initiatives.
Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines using AWS services such as Glue, Lambda, Step Functions, and Kinesis.
- Work with structured and unstructured data from multiple sources, ensuring efficient ingestion, transformation, and storage.
- Build and optimise data lake and warehouse solutions using S3, Redshift, Athena, and Lake Formation.
- Implement data governance, security, and compliance best practices, including IAM, encryption, and access controls.
- Monitor and optimise performance of data workflows using CloudWatch and other AWS-native tools.
- Automate data processes using Python, PySpark, SQL, and AWS SDKs.
- Collaborate with cross-functional teams to support analytics, BI, and AI/ML use cases.
- Maintain and enhance CI/CD pipelines for data infrastructure using Terraform, CloudFormation, or CDK.
- Troubleshoot and resolve data integration, performance, and reliability issues.
Required Skills & Experience:
- 5+ years of experience in data engineering, with a strong focus on AWS.
- Strong proficiency in Python, PySpark, SQL, and AWS Glue.
- Hands-on experience with AWS data services including Redshift, Athena, Glue, EMR, and Kinesis.
- Solid understanding of data modelling, warehousing, and schema design.
- Experience with streaming and event-driven architectures (e.g. Kafka or Kinesis).
- Expertise in Infrastructure as Code (Terraform, CloudFormation, or CDK).
- Familiarity with DevOps practices and CI/CD pipelines.
- Strong problem-solving skills and experience working in Agile environments.
Desirable:
- AWS certifications (Data Analytics Specialty or Solutions Architect Associate).
- Experience with Airflow for orchestration.
- Exposure to big data frameworks such as Spark, Hadoop, or Presto.
- Experience supporting AI/ML data pipelines.
SC Cleared Data Engineer in Slough employer: IO Associates
Join a forward-thinking technology consultancy that values innovation and collaboration, offering a dynamic work environment for AWS Data Engineers. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work on impactful projects across the UK and Europe. Enjoy a supportive culture that prioritises work-life balance and fosters creativity, making it an excellent place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Data Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS services like Glue and Redshift. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges with ETL pipelines or optimised data workflows using AWS tools.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace SC Cleared Data Engineer in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS and data engineering. Use keywords from the job description to show we’re on the same page about what you bring to the table.
Showcase Your Projects:Include specific examples of projects where you've built scalable data pipelines or worked with AWS services. This gives us a clear picture of your hands-on experience and problem-solving skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're excited about this role and how your background aligns with our needs. Keep it concise but impactful.
Apply Through Our Website:We recommend applying directly through our website for the best chance of getting noticed. It’s straightforward and ensures your application lands in the right hands!
How to prepare for a job interview at IO Associates
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services, especially Glue, Lambda, and Kinesis. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the platform.
✨Showcase Your Data Pipeline Skills
Prepare to talk about specific ETL/ELT pipelines you've designed or maintained. Highlight any challenges you faced and how you overcame them, as well as the impact your work had on data accessibility and analytics.
✨Demonstrate Problem-Solving Abilities
Expect questions that test your problem-solving skills, especially in relation to data integration and performance issues. Think of examples where you identified a problem, implemented a solution, and what the results were.
✨Familiarise Yourself with CI/CD Practices
Since the role involves maintaining CI/CD pipelines, be prepared to discuss your experience with Terraform, CloudFormation, or CDK. Share specific examples of how you've automated processes and improved deployment efficiency.
