At a Glance
- Tasks: Design and implement ETL pipelines using cutting-edge big data technologies.
- Company: Join a forward-thinking consultancy driving digital transformation for top organisations.
- 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 with innovative data solutions for high-profile government clients.
- Qualifications: Experience in Python, Spark, and AWS services required.
The predicted salary is between 63000 - 77000 £ per year.
Location: Remote/ London occasional visits to 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:
- 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
Fynity is an exceptional employer, offering a dynamic work environment in Hemel Hempstead where you can contribute to vital Defence and National Intelligence systems. With a strong focus on employee growth, we provide opportunities for professional development and skill enhancement, all while fostering a collaborative culture that values innovation and teamwork. Join us to be part of a mission-driven team dedicated to tackling real-world threats, with the added advantage of working in a highly secure and supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in England
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Fynity!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Fynity.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Fynity.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Fynity, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Fynity, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fynity. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Fynity
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fynity!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
