Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 making a real impact with data-driven solutions in a supportive culture.
- Qualifications: Experience with Snowflake, Python, AWS, and data system design is essential; mentorship skills are a plus.
- Other info: Engage in community-building activities and promote best practices within the Hippo Engineering Herd.
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
DiverseJobsMatter | Senior Data Engineer employer: DiverseJobsMatter
Contact Detail:
DiverseJobsMatter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DiverseJobsMatter | Senior Data Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Snowflake, Python, and AWS. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during the interview process.
✨Tip Number 2
Engage with the Hippo community by participating in relevant forums or attending workshops and seminars. This not only helps you learn but also shows your commitment to the field and can lead to valuable networking opportunities.
✨Tip Number 3
Prepare to discuss your experience with data system design, particularly with Data Lakes and Data Warehouses. Be ready to share specific examples of how you've implemented these systems in past roles, as this will demonstrate your expertise.
✨Tip Number 4
Highlight your teamwork and mentoring experiences. Since the role involves supporting other engineers and working within multidisciplinary teams, showcasing your ability to collaborate and guide others will be crucial.
We think you need these skills to ace DiverseJobsMatter | Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Data Engineer position. Make sure you understand the key responsibilities and required skills, such as experience with Snowflake, Python, and AWS.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your proven track record in data system design and your proficiency in the technologies mentioned.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to work within multidisciplinary teams. Mention specific projects or experiences that demonstrate your expertise in building data solutions.
Showcase Your Communication Skills: Since the role involves engaging with clients and stakeholders, make sure to highlight your teamwork and presentation skills in your application. Provide examples of how you've successfully communicated complex data concepts in the past.
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 technical proficiency and ability to deliver results.
✨Emphasize Collaboration Skills
Since the role involves working within a multidisciplinary team, share examples of how you've successfully collaborated with others in past projects. Discuss how you built relationships with stakeholders and contributed to a positive team environment.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in data engineering and how you overcame them. Focus on your approach to designing and implementing data flows or optimizing code, showcasing your analytical thinking and problem-solving skills.
✨Engage with the Hippo Community
Express your enthusiasm for sharing best practices and contributing to the Hippo community. Mention any relevant experiences, such as writing blogs or leading workshops, to illustrate your commitment to professional development and knowledge sharing.
