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For Companies At a Glance
- Tasks: Design and implement ETL pipelines for complex datasets using big data tools.
- Company: Join a dynamic Digital Transformation Consultancy focused on innovative solutions for government clients.
- Benefits: Work with cutting-edge technologies and collaborate with skilled professionals in a fast-paced environment.
- Why this job: Make a significant impact in digital transformation while working with the latest cloud technologies.
- Qualifications: Deep background in data engineering, expertise in AWS, Python, Scala, SQL, and ETL tools required.
- Other info: Candidates must have or be eligible for SC clearance; British citizenship or 5 years residency in the UK needed.
The predicted salary is between 42000 - 84000 £ per year.
Data Engineer – SC Cleared (or Clearable)
Location: London
Salary: Up to £70,000
Start Date: ASAP
About the Role
Join a dynamic Digital Transformation Consultancy as a Data Engineer and play a pivotal role in delivering innovative, data-driven solutions for high-profile government clients. You’ll be responsible for designing and implementing robust ETL pipelines, leveraging cutting-edge big data technologies, and driving excellence in cloud-based data engineering.
This role offers the opportunity to work with leading technologies, collaborate with data architects and scientists, and make a significant impact in a fast-paced, challenging environment.
Key Responsibilities:
- Design, implement, and debug ETL pipelines to process and manage complex datasets.
- Leverage big data tools, including Apache Kafka, Spark, and Airflow, to deliver scalable solutions.
- Collaborate with stakeholders to ensure data quality and alignment with business goals.
- Utilize programming expertise in Python, Scala, and SQL for efficient data processing.
- Build data pipelines using cloud-native services on AWS, including Lambda, Glue, Redshift, and API Gateway.
- Monitor and optimise data solutions using AWS CloudWatch and other tools.
What We’re Looking For:
- Experience: Deep background in data engineering with hands-on expertise in big data technologies.
- Cloud Expertise: Proven experience implementing pipelines using AWS services.
- Technical Skills: Strong command of Python, Scala, SQL, and ETL tools.
- Security Clearance: Candidates must have or be eligible for SC clearance. Preference will be given to those already SC Cleared.
SC Clearance Criteria:
- Must be a British Citizen or have resided in the UK for at least 5 consecutive years.
- Detailed employment history for the past 10 years or longer may be required.
Why Join Us?
- Be part of a forward-thinking consultancy driving digital transformation for industry leaders.
- Work with the latest big data and cloud technologies.
- Collaborate with a team of skilled professionals in a fast-paced and rewarding environment.
If you’re passionate about delivering impactful data solutions and meet the criteria for this role, we’d love to hear from you. Apply today and lead the way in digital transformation!
Data Engineer - SC Clearable employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - SC Clearable
✨Tip Number 1
Make sure to highlight your hands-on experience with big data technologies like Apache Kafka, Spark, and Airflow during your conversations. This will show that you have the practical skills needed for the role.
✨Tip Number 2
Familiarize yourself with AWS services such as Lambda, Glue, and Redshift. Being able to discuss how you've used these tools in past projects can set you apart from other candidates.
✨Tip Number 3
Since SC clearance is a requirement, be prepared to discuss your eligibility and any relevant background checks. Having your detailed employment history ready can streamline this process.
✨Tip Number 4
Show your enthusiasm for digital transformation and data-driven solutions. Sharing examples of how you've contributed to similar projects can demonstrate your passion and fit for the role.
We think you need these skills to ace Data Engineer - SC Clearable
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your experience with ETL pipelines, big data technologies, and AWS services in your application.
Tailor Your CV: Customize your CV to reflect your relevant experience in data engineering, particularly with tools like Apache Kafka, Spark, and Airflow. Emphasize your programming skills in Python, Scala, and SQL.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and digital transformation. Mention specific projects or experiences that demonstrate your ability to deliver data-driven solutions.
Highlight Security Clearance: If you have SC clearance, make sure to mention it prominently in your application. If not, clarify your eligibility and willingness to obtain it, as this is a crucial requirement for the role.
How to prepare for a job interview at Fynity
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with big data technologies like Apache Kafka, Spark, and Airflow. Highlight specific projects where you designed and implemented ETL pipelines, as this will demonstrate your technical expertise.
✨Demonstrate Cloud Proficiency
Since the role requires cloud-based data engineering, make sure to talk about your experience with AWS services such as Lambda, Glue, Redshift, and API Gateway. Provide examples of how you've utilized these tools to build scalable data solutions.
✨Emphasize Collaboration Skills
Collaboration is key in this role. Be ready to share experiences where you worked closely with stakeholders to ensure data quality and alignment with business goals. This will show that you can effectively communicate and work within a team.
✨Prepare for Security Clearance Questions
Since SC clearance is a requirement, be prepared to discuss your eligibility and any relevant background information. Make sure you understand the criteria and can provide detailed employment history if asked.
