At a Glance
- Tasks: Work with AI to solve real-world data challenges and collaborate with a dynamic team.
- Company: Growing organisation in Birmingham, embracing exciting changes in data and AI.
- Benefits: Competitive salary, flexible working, and the chance to make a significant impact.
- Other info: Enjoy a hybrid work model with one day in the office and excellent career growth.
- Why this job: Put your AI skills to the test and drive meaningful change in a supportive environment.
- Qualifications: Experience in data engineering, pipelining, APIs, and SQL is essential.
The predicted salary is between 48000 - 50000 £ per year.
Opportunity to work with AI – Birmingham/Flexible 48k - 50k per annum – Based in Birmingham City Centre, one day per week in the office, the rest from home.
Data Engineer required for a growing organisation based in Birmingham, who are currently progressing through some exciting changes in their data and AI ways of working. Within the role, you will be part of a small team that is able to make a massive impact on the organisation. This role will give you the opportunity to put your AI knowledge/enthusiasm to the test with real world problems and opportunities.
Ideally you will be a proven Data Engineer with solid understanding and experience with Data pipelining, APIs and SQL.
Skills required for the role:
- Engage with stakeholders and collaborate with the analytics team to answer real business problems and opportunities with data.
Data Engineer - Birmingham/Flexible employer: Investigo
Join a dynamic and innovative organisation in Birmingham that values your expertise as a Data Engineer, offering a flexible work environment with the perfect balance of office and remote work. With a strong focus on employee growth and development, you'll have the chance to work on cutting-edge AI projects that make a real difference, all while being part of a supportive team culture that encourages collaboration and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Birmingham/Flexible
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving data pipelining, APIs, and SQL. 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 AI knowledge and real-world applications. Be ready to discuss how you've tackled data challenges in the past and how you can contribute to their team.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to make an impact. 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 - Birmingham/Flexible
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelining, APIs, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about working with AI and how you can contribute to our team. Keep it engaging and personal – we love to see your enthusiasm!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled real business problems using data. We’re looking for someone who can engage with stakeholders and collaborate effectively, so let us know how you’ve done this in the past.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Investigo
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially around data pipelining, APIs, and SQL. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience and understanding.
✨Show Your AI Enthusiasm
Since the role involves working with AI, be prepared to talk about your passion for AI technologies. Share examples of how you've used AI in past projects or how you see it impacting the future of data engineering.
✨Engage with Real Business Problems
Think about how data can solve real business challenges. During the interview, be ready to discuss how you've collaborated with stakeholders in the past to address business needs using data insights. This will demonstrate your ability to connect technical skills with business outcomes.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data and AI initiatives. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
