At a Glance
- Tasks: Build scalable data pipelines and integrate multiple data sources for impactful projects.
- Company: A growing organisation investing in data and AI capabilities.
- Benefits: Up to £48,000 salary, benefits, and flexible remote work.
- Other info: Collaborative team environment with opportunities to influence data strategy.
- Why this job: Shape the future of data-driven decision making with modern technologies.
- Qualifications: Strong SQL and Python skills, experience with cloud-based data platforms.
The predicted salary is between 48000 - 48000 £ per year.
A Data Engineer is required to join a growing organisation undergoing significant investment in its data and AI capabilities. This is an exciting opportunity to work on modern data platforms, build scalable data pipelines, and help shape the future of data-driven decision making across the business.
Working within a collaborative team, you'll be responsible for developing and maintaining data solutions, integrating multiple data sources, supporting analytics and reporting, and contributing to the adoption of AI-powered workflows and automation.
Key Responsibilities & Skills:- Build and maintain scalable data pipelines using Apache Airflow or similar orchestration tools.
- Develop integrations with internal and third-party APIs, ensuring reliable and efficient data flows.
- Design and optimise SQL-based data models, transformations, and reporting datasets.
- Support and maintain cloud-based data warehouse infrastructure.
- Troubleshoot pipeline issues and manage dependencies across multiple data sources.
- Work closely with stakeholders to translate business requirements into effective data solutions.
- Contribute to the development of AI-powered workflows and integrations using modern LLM technologies.
- Support analytics and reporting initiatives through high-quality, reliable data delivery.
- Apply best practices around ETL/ELT, data governance, version control, and automation.
- Strong SQL and Python skills, with experience using data processing libraries and API integrations.
- Experience with cloud-based data platforms, data warehouses, and modern data architectures.
- Knowledge of Git, Docker, and software engineering best practices.
- Exposure to AWS services and cloud-native data solutions would be advantageous.
- Interest in AI technologies, automation, and emerging data engineering practices.
- Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders.
This is an excellent opportunity to join a growing business where you'll have the chance to influence data strategy, work with modern technologies, and contribute to impactful projects across data engineering, analytics, and AI.
Data Engineer in Birmingham employer: Investigo
Join a forward-thinking organisation in Birmingham that prioritises innovation and employee development. As a Data Engineer, you'll thrive in a collaborative work culture that values your contributions to cutting-edge data solutions and AI initiatives. With competitive salary packages and opportunities for professional growth, this is the perfect environment for those looking to make a meaningful impact in the data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Birmingham
✨Network Like a Pro
Get out there and connect with people in the data engineering field! Attend meetups, webinars, or even local tech events. You never know who might have a lead on your dream job or can give you insider tips.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving SQL, Python, and cloud-based solutions. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice common data engineering problems and be ready to discuss your past projects. Confidence is key, so show them you know your stuff!
✨Apply Through Us!
Don’t forget to apply directly through our website! We’re always on the lookout for talented data engineers like you. Plus, it’s a great way to get noticed and potentially skip some of the usual application hurdles.
We think you need these skills to ace Data Engineer in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your SQL, Python, and cloud-based data platform experience to show us you're the right fit for the Data Engineer role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our needs. Share specific examples of projects where you've built scalable data pipelines or worked with AI technologies.
Showcase Your Technical Skills:Don’t forget to mention your experience with tools like Apache Airflow, Git, and Docker. We want to see how you’ve applied these in real-world scenarios, so be specific about your contributions and outcomes.
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 regarding your application status.
How to prepare for a job interview at Investigo
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially SQL and Python. Brush up on your experience with Apache Airflow, cloud platforms, and any relevant data processing libraries. Being able to discuss specific projects where you've used these tools will show your practical knowledge.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, particularly around building scalable data pipelines or troubleshooting issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for interviewers to see your thought process.
✨Communicate Effectively
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of examples where you’ve successfully communicated data solutions to different audiences, as this will highlight your strong communication skills.
✨Demonstrate Your Interest in AI and Automation
Given the focus on AI-powered workflows, be prepared to discuss your interest and any experience you have with AI technologies. Share insights on how you see AI impacting data engineering and be ready to suggest innovative ideas that could benefit the company.
