At a Glance
- Tasks: Design and implement robust ETL pipelines using cutting-edge big data technologies.
- Company: Dynamic Digital Transformation Consultancy with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a forward-thinking team driving digital transformation for industry leaders.
- Why this job: Make a significant impact on high-profile government projects with leading technologies.
- Qualifications: Experience in data engineering, Python, PySpark, and AWS services.
The predicted salary is between 60000 - 80000 £ per year.
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.
- 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.
- Utilise 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.
Proven hands-on experience in data engineering projects:
- Expertise in Python, PySpark and SQL languages.
- 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.
Be part of a forward-thinking consultancy driving digital transformation for industry leaders. Work with the latest big data and cloud technologies. 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!
Senior Engineer, Data Engineering employer: Fynity
Join a forward-thinking Digital Transformation Consultancy that values innovation and collaboration, offering a vibrant work culture where your contributions directly impact high-profile government projects. With opportunities for professional growth and the chance to work with cutting-edge technologies in a remote setting, this role is perfect for those looking to advance their careers while making a meaningful difference. Enjoy the flexibility of remote work with occasional visits to London, fostering a dynamic team environment that encourages creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with big data and cloud technologies. 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 projects, especially those involving ETL pipelines and AWS services. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with tools like Apache Kafka, Spark, and Airflow. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with big data tools like Apache Kafka and Spark. We want to see how your skills in Python, Scala, and SQL align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our innovative solutions. Be specific about your experience with AWS services and ETL pipelines.
Showcase Your Projects:If you've worked on any cool data engineering projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve cloud-native services or data quality improvements.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Fynity
✨Know Your Tech Stack
Make sure you’re well-versed in the big data tools mentioned in the job description, like Apache Kafka, Spark, and Airflow. Brush up on your AWS services knowledge too, especially Lambda, Glue, and Redshift. Being able to discuss how you've used these technologies in past projects will show you're the right fit.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to deliver innovative solutions.
✨Collaborate Like a Pro
Since this role involves working with stakeholders, be ready to talk about your experience collaborating with data architects and scientists. Highlight any successful projects where teamwork was key to achieving business goals, as this will show you can thrive in a dynamic environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to digital transformation and their use of data engineering. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a win-win!
