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- Tasks: Lead and design data solutions to optimize business processes and enhance data accessibility.
- Company: Join a dynamic team at Hippo, focused on innovative data engineering solutions.
- Benefits: Enjoy opportunities for professional development, collaboration, and sharing knowledge through workshops and conferences.
- Why this job: Be part of a multidisciplinary team that values evidence-based approaches and fosters a culture of learning.
- Qualifications: Proven experience in Snowflake, Python, AWS, and data system design is essential.
- Other info: Engage with clients and contribute to the recruitment and onboarding of new engineers.
The predicted salary is between 43200 - 72000 £ per year.
As a Senior Data Engineer, you will be working as part of a multidisciplinary team to build solutions that make data accessible to enable solutions to be optimised by using an evidence-based approach. Engaging with our clients you will design and implement data solutions ensuring solutions are integrated with internal systems and business processes.
- Your role in a nutshell:Act as an SME within the Hippo squad to lead, design and implement data solutions that meet business requirements.
- Help architects realise data system design such as Meshes, Warehouses and Event based systems
- Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
- Re-engineer, develop and optimise code to ensure processes perform optimally
- Build great relationships with your team and stakeholders
- Work with the Hippo community to share best practice to ensure high standards
- Involved in the recruitment and on-boarding of other engineers, and support other consultants in their professional development
- Promote Hippo’s Engineering Herd internally and externally (for example through writing Blogs, Workshops, Seminars or Conferences)
About the Candidate:
- Proven track record in Snowflake, Python, dbt, AWS and Terraform
- Proficiency in R, Bash, Java/.NET and/or PowerShell desirable
- Broad knowledge across cloud architectures, networking and distributed computing systems
- Experience of data system design such as Data Lakes, Data Meshes and Data Warehouses.
- Experience of a wide range of data sources, SQL, NoSQL and Graph.
- A proven track record of infrastructure delivery on any data platform (Snowflake, Elastic, Redshift, Data Bricks, Splunk, etc).
- Strong and demonstrable experience writing regular expressions and/or JSON parsing, etc.
- Strong experience in log processing (Cribl, Splunk, Elastic, Apache NiFi etc.)
- Expertise in the production of dashboard/insight delivery
- Be able to demonstrate a reasonable level of security awareness (An understanding of basic security best practices, OAuth, MFA, TLS, etc.)
- Experience in the processing of large datasets
- A firm understanding of data modelling and normalisation concepts
- Good estimation skills for times, latencies and costs.
- Experience working within multidisciplinary teams desirable
- Teamwork and presentation skills, experience of mentor led working practices
Senior Data Engineer employer: DiverseJobsMatter
Contact Detail:
DiverseJobsMatter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Make sure to showcase your experience with Snowflake, Python, and AWS in conversations. These are key technologies for the role, and demonstrating your expertise can set you apart from other candidates.
✨Tip Number 2
Engage with the Hippo community online or at events. Building relationships with current team members can give you insights into the company culture and expectations, which is invaluable during the interview process.
✨Tip Number 3
Prepare to discuss your experience with data system design, particularly Data Lakes and Data Meshes. Be ready to share specific examples of how you've implemented these solutions in past projects.
✨Tip Number 4
Highlight any experience you have with mentoring or onboarding other engineers. This aligns with the role's responsibilities and shows that you're not just a technical expert but also a team player who can help others grow.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, Python, AWS, and Terraform. Include specific projects where you designed and implemented data solutions, as well as any relevant metrics that demonstrate your impact.
Craft a Compelling Cover Letter: In your cover letter, emphasize your proven track record in data system design and your ability to work within multidisciplinary teams. Mention your experience with data flows and how you've optimized processes in previous roles.
Showcase Your Technical Skills: Clearly list your technical skills related to the job description, such as proficiency in R, Bash, and your experience with various data platforms. Provide examples of how you've used these skills to solve complex problems.
Demonstrate Your Teamwork and Mentorship: Highlight any experiences where you've mentored other engineers or collaborated with stakeholders. This will show your ability to build relationships and contribute to a positive team environment.
How to prepare for a job interview at DiverseJobsMatter
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Snowflake, Python, and AWS in detail. Highlight specific projects where you implemented data solutions and how they benefited the business. This will demonstrate your capability as a Senior Data Engineer.
✨Demonstrate Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Discuss your approach to optimizing code and improving data flows, as well as any innovative solutions you've implemented that align with evidence-based practices.
✨Emphasize Team Collaboration
Since this role involves working within multidisciplinary teams, be ready to share experiences where you successfully collaborated with others. Talk about how you built relationships with stakeholders and contributed to team success.
✨Prepare for Behavioral Questions
Expect questions about your mentoring experience and how you've supported the professional development of other engineers. Think of specific instances where you led workshops or shared best practices, as this aligns with the company's focus on community and knowledge sharing.
