At a Glance
- Tasks: Support the design and operation of scalable data platforms for digital services.
- Company: Join a forward-thinking tech company with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborate in an agile team and work on exciting data projects.
- Why this job: Gain hands-on experience with cutting-edge technologies in a dynamic environment.
- Qualifications: 3+ years in data engineering, strong SQL skills, and active SC clearance required.
The predicted salary is between 35000 - 45000 £ per year.
Location: UK-based, hybrid working
Security Clearance: Active SC clearance required OR BPSS
Experience: 3+ years
Working Style: Agile, product-led digital delivery
We are looking for a Junior Data Engineer to support the design, build and operation of scalable and reliable data platforms for digital services. This role is aligned to DDaT standards and will suit someone with strong SQL fundamentals, good data engineering basics and exposure to cloud, APIs, containers and streaming technologies. You will work under the guidance of senior engineers to develop data pipelines, support data stores, maintain data quality and help ensure data is secure, reliable and available.
Important: Candidates must already hold active SC clearance or be able to demonstrate current SC clearance status.
Role Responsibilities
- You will support the build and maintenance of batch and streaming data pipelines using technologies such as Kafka and cloud-native services.
- You will work with relational databases including AWS Aurora PostgreSQL, writing SQL queries for reporting, analytics and data validation.
- You will support containerised data workloads using Docker and gain exposure to deployments on Kubernetes platforms.
- You will assist with logical and physical data modelling and contribute to data warehouse structures, including star and snowflake schema concepts.
- You will support data validation, reconciliation and monitoring to ensure data assets are accurate, reliable and fit for use.
- You will also help integrate data from internal and external systems via REST APIs, working with JSON payloads, API authentication, pagination and basic error handling.
Essential Skills
- Strong SQL fundamentals, including joins, aggregations and subqueries
- Understanding of ETL / ELT concepts and data pipelines
- Exposure to Apache Kafka or similar streaming platforms
- Basic knowledge of AWS services, especially managed databases
- Awareness of Docker and Kubernetes concepts
- Understanding of REST APIs, methods and JSON payloads
- Ability to consume data from APIs as part of data pipelines
- Good problem-solving skills and ability to troubleshoot basic data issues
- Active SC clearance OR BPSS
Desirable Skills
- Experience with AWS Aurora PostgreSQL
- Basic understanding of data modelling techniques
- Familiarity with data warehousing concepts
- Experience integrating third-party or internal APIs
- Familiarity with Swagger / OpenAPI
- Awareness of API security, including tokens, API keys and OAuth
- Exposure to Git
- Understanding of Agile delivery principles
Experience Required
- 3+ years’ experience in data engineering, analytics or software engineering
- Exposure to cloud data platforms in a delivery environment
- Comfortable working in a multidisciplinary agile team
- Experience working in product-led digital delivery environments would be beneficial
This is an excellent opportunity for a developing Data Engineer to gain hands-on experience across cloud data platforms, SQL, APIs, streaming, containers and modern digital delivery.
Contact Details:
TechNET IT Recruitment Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer (SC Cleared) in England
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We think you need these skills to ace Junior Data Engineer (SC Cleared) in England
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at TechNET IT Recruitment Ltd, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
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How to prepare for a job interview at TechNET IT Recruitment Ltd
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
