At a Glance
- Tasks: Design and maintain robust data pipelines while collaborating with analytics teams.
- Company: Dynamic tech company based in London/Edinburgh with a hybrid work culture.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a fast-paced environment.
- Why this job: Join a team that transforms data into actionable insights and drives innovation.
- Qualifications: Proficient in SQL with experience in ETL processes and data pipeline optimisation.
The predicted salary is between 50000 - 70000 £ per year.
This is a full-time hybrid role for a Data Engineer, based in the London/Edinburgh area, United Kingdom, with the flexibility to work remotely part of the time. The Data Engineer will be responsible for designing, building, and maintaining robust data pipelines and workflows. This includes developing, testing, and optimizing Extract, Transform, Load (ETL) processes, ensuring the integrity and availability of data warehouses, and collaborating with analytics teams to deliver actionable insights from data.
Qualifications:
- Proficient knowledge of SQL
- Experience in interrogating data and root cause analysis/problem solving
- Experience in understanding business requirements and translating them into technical requirements
- Good written and oral communication with stakeholders at all levels, internal as well as external
- Minimum 5 years working as a Data Engineer
- Experience designing, building, and maintaining scalable data pipelines and ETL processes
- Proficiency with data processing frameworks and tools, primarily Apache Airflow, Apache Falcon
- Strong understanding of data warehousing concepts and experience with cloud-based data platforms, primarily AWS
- Knowledge of data modelling, schema design, and optimisation techniques for large datasets
- Familiarity with scripting/programming languages such as Python for data manipulation and automation
- Understanding of data governance, quality, and security best practices
- Experience with containerisation and orchestration tools (e.g., Docker, Kubernetes) is a plus
- Ability to troubleshoot data pipeline issues and optimise data workflows for performance and scalability
Data Engineer employer: Unitech
As a leading employer in the tech industry, we offer Data Engineers an exciting opportunity to work in a dynamic hybrid environment in the vibrant cities of London or Edinburgh. Our commitment to employee growth is reflected in our comprehensive training programmes and collaborative work culture, which fosters innovation and creativity. With flexible working arrangements and a focus on work-life balance, we ensure that our team members thrive both personally and professionally while contributing to impactful data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and join online forums. 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 pipelines, ETL processes, and any projects you've worked on. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with SQL, data warehousing, and tools like Apache Airflow. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with SQL, ETL processes, and any relevant tools like Apache Airflow. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific examples of data pipelines or workflows you've built. We love seeing real-world applications of your skills, so don’t hold back on the details that show off your problem-solving abilities.
Communicate Clearly:Since good communication is key, ensure your application is well-structured and free of jargon. We want to understand your experience without getting lost in technical terms, so keep it straightforward and engaging.
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Unitech
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and be ready to discuss your experience with data interrogation and root cause analysis. Prepare examples of how you've tackled data issues in the past, as this will show your problem-solving abilities.
✨Speak Their Language
Understand the business requirements and be prepared to translate them into technical terms. Practice explaining complex data concepts in simple language, as you'll need to communicate effectively with stakeholders at all levels.
✨Showcase Your ETL Expertise
Be ready to discuss your experience with designing and maintaining ETL processes. Highlight specific projects where you've optimised data pipelines, and mention any tools like Apache Airflow or AWS that you've used to enhance performance.
✨Demonstrate Your Collaboration Skills
Since you'll be working closely with analytics teams, prepare to share examples of successful collaborations. Talk about how you’ve worked together to deliver actionable insights from data, and emphasise your communication skills throughout.
