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 in London 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 make a meaningful difference while enjoying the flexibility of occasional visits to London. Embrace a supportive environment that fosters creativity and excellence in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving AWS services and big data tools. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. Make sure your application stands out by tailoring it to highlight your experience with the specific technologies mentioned in the job description.
We think you need these skills to ace Senior Engineer, Data Engineering in London
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 align with the role, so don’t be shy about showcasing your expertise in Python, Scala, and SQL!
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 mission of delivering innovative solutions for high-profile clients. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any data engineering projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve designing ETL pipelines or using AWS services like Lambda and Glue.
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’re considered for this exciting opportunity. Don’t miss out on the chance to join our dynamic 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 these technologies confidently will show that you're ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about your hands-on experience with data engineering projects. Have specific examples ready that highlight your expertise in Python, PySpark, and SQL. Discuss how you’ve designed data pipelines and the impact your work had on previous projects—this will demonstrate your practical skills and problem-solving abilities.
✨Understand the Business Goals
Familiarise yourself with the consultancy's mission and the types of government clients they work with. Be prepared to discuss how your role as a Data Engineer can align with their business goals. This shows that you’re not just technically skilled but also understand the bigger picture.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. Inquire about the team dynamics, the challenges they face in data engineering, or how they measure success in their projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
