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- Tasks: Join a dynamic team to enhance Data Engineering and automate business activities.
- Company: TrueNorth is a transforming professional services organisation focused on growth and innovation.
- Benefits: Enjoy hybrid working, competitive salary, and excellent perks.
- Why this job: Be part of a cutting-edge project creating a new data lakehouse and work with diverse teams.
- Qualifications: Essential skills include Databricks, Python, R, and strong communication abilities.
- Other info: This role offers significant growth opportunities in a collaborative environment.
The predicted salary is between 55000 - 68000 £ per year.
TrueNorth are working with a transforming professional services organisation who are looking to grow their Data Engineering capability by adding to the team - these are growth roles! You'll be working with teams across the UK and your work will be widespread and varied in the Data Engineering space. One of the core aims for Data Engineering will be to use Data Engineering to automate a lot of activities in the business, as well as supporting the creation of a new data lakehouse / warehouse.
Key skills and experience required:
- Databricks (essential)
- Python
- R
- ELT / Pipeline management
- Qlik / SAS or similar
- Excellent communication with both technical and non-technical stakeholders and colleagues
The role will be hybrid working in their Newcastle office (2 days per week in office), and has a starting salary range of £55k to £68k plus excellent benefits. Please get in touch for more information.
Senior / Lead Data Engineer employer: TrueNorth®
Contact Detail:
TrueNorth® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior / Lead Data Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its functionalities, as it's essential for this role. Consider working on personal projects or contributing to open-source projects that utilise Databricks to showcase your skills.
✨Tip Number 2
Brush up on your Python and R skills, focusing on data manipulation and pipeline management. You could create a portfolio of mini-projects that demonstrate your ability to handle ELT processes effectively.
✨Tip Number 3
Practice your communication skills by explaining complex data engineering concepts to non-technical friends or family. This will help you articulate your ideas clearly during interviews with both technical and non-technical stakeholders.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who have experience with Qlik or SAS. Attend industry meetups or webinars to gain insights and potentially get referrals for the position.
We think you need these skills to ace Senior / Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Python, and ELT/Pipeline management. Use specific examples to demonstrate your skills in these areas, as well as your ability to communicate effectively with both technical and non-technical stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their goals of automating activities and creating a data lakehouse/warehouse. Be sure to include any relevant projects or achievements that showcase your expertise.
Showcase Your Communication Skills: Since excellent communication is key for this role, consider including a section in your application that highlights instances where you've successfully collaborated with diverse teams or explained complex technical concepts to non-technical colleagues.
Proofread Your Application: Before submitting, carefully proofread your application materials. Look for any spelling or grammatical errors, and ensure that your formatting is consistent. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at TrueNorth®
✨Showcase Your Technical Skills
Make sure to highlight your experience with Databricks, Python, and ELT/Pipeline management during the interview. Prepare specific examples of projects where you've successfully implemented these technologies, as this will demonstrate your capability to contribute to their data engineering goals.
✨Communicate Effectively
Since the role requires excellent communication with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between different teams and ensure everyone is on the same page.
✨Understand Their Business Needs
Research TrueNorth and their professional services organisation to understand their business model and how data engineering can support their objectives. Being able to discuss how your skills can help automate activities and contribute to the new data lakehouse/warehouse will set you apart.
✨Prepare for Hybrid Working Questions
As the role involves hybrid working, be ready to discuss your experience with remote collaboration tools and how you manage your time effectively. Highlight any previous experiences where you successfully worked in a hybrid environment to reassure them of your adaptability.
