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- Tasks: Design and implement ETL pipelines using cutting-edge big data technologies.
- Company: Join a forward-thinking consultancy driving digital transformation across the UK and Europe.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact on high-profile government projects with innovative data solutions.
- Qualifications: Experience in Python, Spark, and AWS services required.
The predicted salary is between 70000 - 70000 ÂŁ per year.
Location: Remote/ London occasional visits to London
Salary: Up to ÂŁ70,000
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:
- Good hands‑on experience of designing, implementing, debugging ETL pipeline.
- Expertise in Python, PySpark and SQL languages.
- Expertise with Spark and Airflow.
- Experience of designing data pipelines using cloud native services on AWS.
- Extensive knowledge of AWS services like API Gateway, Lambda, Redshift, Glue, Cloudwatch, etc.
- Iac experience of deploying AWS resources using terraform.
- Hands‑on experience of setting up CI/CD workflows using GitHub Actions.
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!
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering, Information Technology, and Other
Industries: IT Services and IT Consulting, Government Administration, Information Services
Data Engineer in England employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in England
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Fynity. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your ETL pipelines or any projects using big data tools like Spark or Airflow. This will give you an edge and show us what you can really do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python, SQL, and AWS knowledge. Practice common data engineering problems and be ready to discuss how you've tackled challenges in past projects. We want to see your problem-solving skills in action!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're genuinely interested in joining our team at Fynity.
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL pipelines, big data tools like Apache Kafka and Spark, and any cloud services you've worked with. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Mention specific projects or experiences that relate to the job description to grab our attention.
Showcase Your Technical Skills: Don’t forget to showcase your programming expertise in Python, Scala, and SQL. If you've got experience with AWS services or CI/CD workflows, make sure to include that too! We love seeing candidates who are hands-on with the technologies we use.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Fynity
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Apache Kafka, Spark, and AWS services. Brush up on your Python, PySpark, and SQL skills, as you’ll likely be asked to demonstrate your expertise during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced while designing or debugging ETL pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you overcame obstacles in previous projects.
✨Understand the Business Context
Familiarise yourself with the types of government clients the company works with. Be ready to discuss how your data solutions can align with their business goals and improve data quality. This shows that you’re not just a techie but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project methodologies, and future technology trends within the company. This demonstrates your genuine interest in the role and helps you assess if the company is the right fit for you.