At a Glance
- Tasks: Lead the design and deployment of production data pipelines.
- Company: Join a global firm making a positive impact with top industry names.
- Benefits: Enjoy great salaries, annual bonuses, flexible hybrid work, and private medical insurance.
- Why this job: Work on cutting-edge tech projects in a modern office while growing your career.
- Qualifications: Experience with AWS, Agile/Scrum, and data visualization tools required.
- Other info: Positions available from Junior to Lead levels in Belfast.
The predicted salary is between 48000 - 72000 £ per year.
Our client is a global firm working on high profile projects to create positive impact. They work with some of the biggest names across a range of thriving industries and offer fantastic growth opportunities.
They are heavily investing in their data team here in Belfast – hiring from Junior right up to Lead positions, working on a hybrid basis from some of city\’s newest and most modern offices.
What\’s in it for you?
- Great salaries and annual bonus up to 15%
- Flexible hybrid working options
- Private medical insurance, critical illness and life/income protection insurance
- Generous pension scheme
- Cutting-edge, tech for good projects using AWS and other modern technologies
What are we looking for?
- Experience of designing and deploying production data pipelines
- Proficiency in AWS
- Experience in Agile/Scrum environments
- Knowledge of data cleaning, wrangling, visualisation, and reporting tools
Sound interesting?
- Apply now!
- Or contact maeve.devlin@adeptapartners.com
Adepta Partners | Lead Data Engineer employer: Adepta Partners
Contact Detail:
Adepta Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Adepta Partners | Lead Data Engineer
✨Tip Number 1
Make sure to familiarize yourself with AWS services, as proficiency in this area is crucial for the Lead Data Engineer role. Consider exploring online courses or certifications that focus on AWS to strengthen your knowledge and skills.
✨Tip Number 2
Highlight any experience you have with Agile/Scrum methodologies during your conversations. Being able to demonstrate your understanding of these frameworks can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific examples of data pipelines you've designed and deployed in previous roles. This will showcase your hands-on experience and ability to contribute to their projects right away.
✨Tip Number 4
Research the company’s recent projects and initiatives related to 'tech for good'. Showing genuine interest in their mission and how your skills align with their goals can make a strong impression.
We think you need these skills to ace Adepta Partners | Lead Data Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Lead Data Engineer position. Make sure you understand the key responsibilities and required skills, especially around AWS and data pipeline design.
Tailor Your CV: Customize your CV to highlight relevant experience in designing and deploying production data pipelines. Emphasize your proficiency in AWS and any experience you have in Agile/Scrum environments.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the specific needs of the company. Mention your passion for working on tech for good projects and how you can contribute to their data team.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise.
How to prepare for a job interview at Adepta Partners
✨Showcase Your AWS Expertise
Since the role requires proficiency in AWS, be prepared to discuss your experience with specific AWS services. Highlight any projects where you've designed or deployed data pipelines using AWS, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Agile/Scrum Knowledge
The company values experience in Agile/Scrum environments. Be sure to share examples of how you've worked in such settings, focusing on your role in team collaboration, sprint planning, and adapting to changes during the project lifecycle.
✨Discuss Data Pipeline Design
Prepare to talk about your experience in designing and deploying production data pipelines. Discuss the tools and technologies you used, the architecture you implemented, and any performance optimizations you achieved.
✨Highlight Tech for Good Projects
Since the firm focuses on tech for good projects, mention any relevant experiences where your work had a positive impact. This could include projects that contributed to social causes or improved processes in a meaningful way.
