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 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, SQL, 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!
IT Data Architect 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 not only enhances your technical skills but also fosters a sense of community among like-minded professionals. Embrace the flexibility of remote work while occasionally connecting with colleagues in London, making this an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land IT Data Architect 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 IT Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving AWS and big data tools. This will give potential employers a taste 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. Be ready to discuss your experience with ETL pipelines and cloud services, as well as how you've tackled challenges in past projects.
✨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 IT Data Architect 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! Mention your experience with ETL pipelines, cloud services, and any relevant programming languages. We want to see what you can bring to the table!
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 about your future with StudySmarter!
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 specific data engineering projects you've worked on. Highlight your experience with ETL pipelines and cloud-native services. Use examples that demonstrate your problem-solving skills and how you’ve delivered impactful solutions in previous roles.
✨Understand the Business Goals
Research the consultancy and their high-profile government clients. Understand their mission and how data solutions can drive their objectives. This will help you align your answers with their needs and show that you’re not just a techie but also a strategic thinker.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of your interview. Inquire about the team dynamics, the types of projects you might work 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.
