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, Scala, and AWS services.
The predicted salary is between 60000 - 80000 £ per year.
Location: Remote/ London occasional visits to London
Start Date: Immediately starters only
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!
Data Engineer Con Spark/Scala (Remoto) in London employer: Fynity
Join a forward-thinking Digital Transformation Consultancy that values innovation and collaboration, offering you the chance to work remotely while occasionally visiting London. With a strong focus on employee growth, you'll have access to cutting-edge technologies and the opportunity to make a significant impact on high-profile government projects. Enjoy a supportive work culture that encourages continuous learning and development, making it an excellent place for passionate data engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Con Spark/Scala (Remoto) 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 Spark, Scala, and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨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. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer Con Spark/Scala (Remoto) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with big data tools like Apache Kafka, Spark, and Airflow. 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 cloud-native solutions.
Showcase Your Projects:If you've worked on any relevant data engineering projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve designing ETL pipelines or optimising data solutions.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super 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 Python, Scala, and SQL skills, as you’ll likely be asked to demonstrate your programming expertise during the interview.
✨Showcase Your Projects
Prepare to discuss specific data engineering projects you've worked on. Highlight your experience with designing ETL pipelines and using AWS services like Lambda, Glue, and Redshift. Real-world examples will help you stand out and show your hands-on experience.
✨Understand the Business Impact
Be ready to talk about how your work aligns with business goals. Think about how you can ensure data quality and how your solutions can drive digital transformation for clients. This shows that you’re not just a techie but also understand the bigger picture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s approach to data engineering and their use of cloud technologies. This demonstrates your genuine interest in the role and helps you assess if the company is the right fit for you.
