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- Tasks: Lead and design data solutions, optimising processes and integrating systems.
- Company: Join DiverseJobsMatter, a forward-thinking company focused on data accessibility and innovation.
- Benefits: Enjoy a collaborative environment, professional development opportunities, and the chance to work with cutting-edge technology.
- Why this job: Be part of a multidisciplinary team making a real impact through data-driven solutions.
- Qualifications: Experience in Snowflake, Python, AWS, and data system design is essential.
- Other info: Engage in community activities like writing blogs and hosting workshops.
The predicted salary is between 43200 - 72000 £ per year.
This range is provided by DiverseJobsMatter. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from DiverseJobsMatter
Director Of Operations / Talent Resourcing at DiverseJobsMatter
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Design Services, IT System Design Services, and Data Infrastructure and Analytics
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Contact Detail:
DiverseJobsMatter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake, Python, and AWS. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Engage with the data engineering community online. Participate in forums, webinars, or local meetups to network with professionals in the field. This can help you gain insights into best practices and potentially connect with someone at StudySmarter.
✨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 roles, as this will demonstrate your expertise.
✨Tip Number 4
Showcase your ability to work within multidisciplinary teams by highlighting collaborative projects in your conversations. Emphasising your teamwork and mentoring experiences can resonate well with our values at StudySmarter.
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. Use specific examples to demonstrate your expertise in data system design and your ability to optimise code.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data engineering and how your skills align with the role. Mention your experience in multidisciplinary teams and your commitment to sharing best practices.
Showcase Relevant Projects: Include a section in your application that details relevant projects you've worked on. Focus on those that involved data flows, analytics, or business intelligence systems, and describe your specific contributions.
Highlight Soft Skills: Don't forget to mention your teamwork and presentation skills. As this role involves mentoring and collaboration, showcasing your ability to build relationships and communicate effectively is crucial.
How to prepare for a job interview at DiverseJobsMatter
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake, Python, and AWS in detail. Bring examples of projects where you've implemented data solutions, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the company and its clients to understand their business needs. This will help you articulate how your data solutions can optimise their processes and add value.
✨Demonstrate Team Collaboration
Highlight your experience working within multidisciplinary teams. Share specific examples of how you've built relationships with stakeholders and contributed to team success.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process when tackling complex data challenges, as this will showcase your analytical abilities.
