At a Glance
- Tasks: Design and implement robust ETL pipelines using cutting-edge big data technologies.
- Company: Dynamic Digital Transformation Consultancy focused on innovative, data-driven solutions.
- Benefits: Remote work flexibility, 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: Hands-on experience in data engineering and expertise in Python, PySpark, and SQL.
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!
Ingegnere dei dati (f/m) 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. Our supportive work culture fosters creativity and excellence, ensuring that you thrive in your role as a Data Engineer.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m) 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. The more people you know, the better your chances of landing that Data Engineer role.
✨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 taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with ETL pipelines and cloud-native services, as these are key for the role.
✨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 dei dati (f/m) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, AWS, and big data tools like Kafka and Spark to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of your past projects that align with the role.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! We want to see your hands-on experience with ETL pipelines, cloud services, and programming languages like SQL and Scala.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the quickest way for us to receive your application and start the conversation!
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 any challenges you overcame – this will demonstrate your problem-solving skills and practical knowledge.
✨Understand the Business Impact
It’s not just about the tech; understand how your work as a Data Engineer aligns with business goals. Be ready to discuss how you ensure data quality and how your solutions can drive value for clients. This shows that you’re not only a tech whiz but also a strategic thinker.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. Inquire about the team dynamics, the types of projects you’ll be working on, or how they measure success in data engineering. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
