At a Glance
- Tasks: Design and build scalable data pipelines in a fully remote role.
- Company: Join Sparta Global, a forward-thinking tech company with a collaborative spirit.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Work with cutting-edge technologies and be part of an Agile team.
- Why this job: Make an impact by delivering high-quality data solutions in a dynamic environment.
- Qualifications: Experience as a Data Engineer with strong SQL and Python skills.
The predicted salary is between 50000 - 60000 € per year.
Sparta Global are hiring a team of 3 SC Cleared mid-level Data Engineers, to join on 12-Month Fixed-Term-Contracts, and work fully remotely within the UK.
Overview: This role will suit someone with solid hands-on engineering experience who is comfortable working across cloud-based environments, modern data tooling, and open-source technologies. You’ll work closely with analysts, software engineers, and stakeholders to help deliver reliable, high-quality data solutions that support operational and analytical use cases.
Key Responsibilities:
- Design, build, and maintain scalable ETL/ELT data pipelines
- Develop and optimise data workflows within AWS cloud environments
- Work with structured and unstructured datasets from multiple source systems
- Build and maintain data models to support reporting, analytics, and downstream applications
- Ensure data quality, integrity, and governance standards are maintained
- Support the migration and integration of data between platforms and services
- Monitor and troubleshoot pipeline and platform performance issues
- Collaborate with cross-functional engineering and product teams in Agile delivery environments
- Contribute to continuous improvement of engineering standards, tooling, and automation practices
Skills & Experience Required:
- Commercial experience as a Data Engineer or similar engineering-focused data role
- Strong SQL skills and experience working with relational databases
- Experience developing data pipelines using Python or similar programming languages
- Hands-on experience working within AWS environments, ideally with services such as S3, Lambda, Glue, Redshift, RDS, Athena, IAM
- Experience working with open-source data technologies and frameworks such as Apache Airflow, Spark, Kafka, dbt, Hadoop
- Experience working with APIs and data integration patterns
- Understanding of CI/CD, version control, and engineering best practices
- Experience working within Agile/Scrum delivery teams
SC Cleared Data Engineer in London employer: Sparta Global
At Sparta Global, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation. Our fully remote roles provide flexibility, allowing you to balance your professional and personal life while working with cutting-edge technologies in cloud-based environments. We are committed to your growth, providing ample opportunities for skill development and career progression within a supportive team of experts.
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with SC clearance. 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 best data pipelines and projects. This is your chance to demonstrate your hands-on experience with AWS and modern data tooling, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with ETL/ELT processes and how you've tackled data quality issues in the past. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you a better shot at landing that dream role as a Data Engineer.
We think you need these skills to ace SC Cleared Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your hands-on experience with cloud environments and data tooling, and don’t forget to mention any relevant projects or technologies you've worked with that match the job description.
Showcase Your Skills:When writing your application, be sure to showcase your SQL skills and experience with AWS services. Use specific examples to demonstrate how you've developed and optimised data pipelines in the past – this will really catch our eye!
Keep It Clear and Concise:We love a clear and concise application! Make sure your writing is straightforward and to the point. Avoid jargon unless it’s relevant to the role, and ensure your passion for data engineering shines through.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Sparta Global
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your SQL skills and be ready to discuss your experience with AWS services like S3, Lambda, and Glue. Being able to talk confidently about your hands-on experience with these tools will show that you’re a great fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think of examples where you optimised data workflows or resolved performance issues in your data pipelines. This will demonstrate your ability to troubleshoot and improve processes, which is crucial for a Data Engineer.
✨Understand Agile Methodologies
Since the role involves working in Agile delivery environments, be ready to explain your experience with Agile or Scrum teams. Share how you’ve collaborated with cross-functional teams and contributed to continuous improvement. This shows you can adapt and thrive in a dynamic work setting.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the tools they use, or their approach to data governance. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
