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- Tasks: Design and implement scalable data architectures while ensuring GDPR compliance.
- Company: Join a forward-thinking software development company focused on innovative data solutions.
- Benefits: Enjoy remote/hybrid work options and flexible part-time hours.
- Why this job: Work with cutting-edge technologies in a collaborative environment that fosters growth.
- Qualifications: 7+ years in data engineering, expertise in Databricks and DBT required.
- Other info: This is a 3-month part-time contract role with potential for future opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a seasoned Senior Data Engineer / Data Architect to join our team. If you’re a data expert with deep knowledge of Data Governance, Data Modeling, and Data Architecture, plus a strong grasp of GDPR compliance, this role is for you. Hands-on experience with Databricks and DBT is essential, and familiarity with tools like Snowplow, Monte Carlo, Alation, and Avo is a big plus.
Location: UK (Remote/Hybrid)
Employment Type: Part Time Contract (3 Months)
Key Responsibilities- Design, build, and implement scalable data architectures and governance frameworks.
- Lead data modeling initiatives to optimize structures and pipelines.
- Ensure compliance with GDPR and other relevant data privacy regulations.
- Champion data quality, lineage, and observability using tools like Monte Carlo, Alation, or Avo.
- Collaborate with engineering and analytics teams to deploy Databricks-based solutions.
- Work with stakeholders to define data strategies aligned with business goals.
- Develop and optimize ETL/ELT pipelines for efficiency and reliability.
- Evaluate and integrate third-party tools for data tracking and governance (e.g., Snowplow, DBT).
- Provide technical leadership and mentorship to junior engineers.
- 7+ years of experience in data engineering or architecture roles.
- Expertise in Databricks and DBT with hands-on experience in data transformation and pipeline development.
- Proven experience in Data Governance, Data Modeling, and Data Architecture.
- Strong knowledge of GDPR and other data privacy regulations.
- Familiarity with Snowplow, Monte Carlo, Alation, or Avo is a plus.
- Proficiency in SQL and Python for data processing and analytics.
- Experience working with cloud platforms (AWS, Azure, or GCP).
- Strong problem-solving skills and the ability to thrive in a fast-paced environment.
- Excellent communication and stakeholder management abilities.
- Work with cutting-edge data technologies.
- A collaborative and innovative environment.
- Strong opportunities for career growth and development.
Senior Data Engineer/Data Architect (Part Time Contract - 3 Months) employer: Client
Contact Detail:
Client Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer/Data Architect (Part Time Contract - 3 Months)
✨Tip Number 1
Network with professionals in the data engineering and architecture field. Attend relevant meetups or webinars to connect with others who may have insights into the role or even know about opportunities at StudySmarter.
✨Tip Number 2
Showcase your hands-on experience with Databricks and DBT by discussing specific projects you've worked on. Be prepared to explain how you tackled challenges and what impact your solutions had on data governance and architecture.
✨Tip Number 3
Familiarise yourself with GDPR compliance and data privacy regulations. Being able to discuss how you've ensured compliance in past roles will demonstrate your expertise and commitment to data governance.
✨Tip Number 4
Prepare to discuss your experience with tools like Snowplow, Monte Carlo, Alation, and Avo. Even if you're not an expert in all of them, showing a willingness to learn and adapt can set you apart from other candidates.
We think you need these skills to ace Senior Data Engineer/Data Architect (Part Time Contract - 3 Months)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and architecture, particularly focusing on your expertise with Databricks, DBT, and any relevant tools like Snowplow or Monte Carlo. Use specific examples to demonstrate your skills in Data Governance and GDPR compliance.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how your background aligns with the responsibilities of the role. Mention your hands-on experience with data architectures and your ability to lead data modelling initiatives, as well as your familiarity with the tools listed in the job description.
Showcase Relevant Projects: If you have worked on projects that involved building scalable data architectures or implementing governance frameworks, be sure to include these in your application. Highlight your role, the challenges faced, and the outcomes achieved to illustrate your capabilities.
Proofread Your Application: Before submitting your application, take the time to proofread your CV and cover letter. Check for any grammatical errors or typos, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial in data roles.
How to prepare for a job interview at Client
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Databricks and DBT in detail. Highlight specific projects where you implemented data architectures or governance frameworks, as this will demonstrate your capability to handle the responsibilities of the role.
✨Understand GDPR Compliance
Since knowledge of GDPR is crucial for this position, brush up on the key principles and how they apply to data engineering. Be ready to provide examples of how you've ensured compliance in past roles, as this will show your understanding of data privacy regulations.
✨Familiarise Yourself with Relevant Tools
If you have experience with tools like Snowplow, Monte Carlo, Alation, or Avo, make sure to mention it during the interview. If not, do some research on these tools and be prepared to discuss how they can enhance data governance and quality.
✨Demonstrate Leadership and Collaboration Skills
As a Senior Data Engineer/Data Architect, you'll need to lead initiatives and mentor junior engineers. Prepare examples of how you've successfully collaborated with teams and provided technical leadership in previous roles to illustrate your ability to thrive in a team environment.
