At a Glance
- Tasks: Design and implement robust ETL pipelines using cutting-edge big data technologies.
- Company: Dynamic Digital Transformation Consultancy focused on innovative solutions.
- 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 50000 - 70000 £ 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!
Ingegnere Dati 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 as a Data Engineer not only promises meaningful work but also a supportive environment that fosters continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dati in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 using AWS and big data tools. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss your experience with Python, Spark, and cloud services.
✨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 Ingegnere Dati 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! Tell us why you’re passionate about data engineering and how you can contribute to our innovative projects. Be specific about your experience with AWS services and ETL pipelines.
Showcase Your Projects:If you've worked on any relevant 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 assurance.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s quick and easy, and we can’t wait to see your application come through!
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 ready to hit the ground running.
✨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 help demonstrate your analytical thinking and ability to deliver innovative solutions under pressure.
✨Understand the Business Impact
Familiarise yourself with how data engineering contributes to business goals, especially in a consultancy setting. Be ready to talk about how your work can drive digital transformation for clients. Showing that you understand the bigger picture will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects, team dynamics, and future technology plans. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.
