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For Companies At a Glance
- Tasks: Join our Data team to build data pipelines and model insights for stakeholders.
- Company: We are a forward-thinking company focused on data-driven decision-making.
- Benefits: Enjoy flexible hours, hybrid work, 25+ days holiday, and wellness programmes.
- Why this job: Be part of a dynamic team that values innovation and personal growth.
- Qualifications: Must be skilled in SQL, ETL/ELT, and have experience with data pipelines.
- Other info: Opportunity to mentor juniors and work remotely for two weeks annually.
The predicted salary is between 48000 - 72000 £ per year.
The Role
We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the Data team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for driving forward our revenue.
What we're offering you:
- Flexible hours and summer hours
- Hybrid working
- Competitive holiday benefits - 25 days a year paid holiday, plus 8 bank holidays (increases 1 day a year up to 30 days)
- Closed for Christmas holidays
- Work from anywhere for 2 weeks a year
- Life Assurance and Income Protection to protect your loved ones
- Benefits allowance for health, dental, and vision coverage
- Defined Contribution Pension and Salary Sacrifice Scheme
- Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families
- Family Forward support for our MVF parents and their mini-mes
- Free breakfast when in the office
- 2 charity days a year
Responsibilities:
- Ability to communicate technical information to both technical and business audiences
- Understand our data landscape and architecture
- Design and implement high-performance, reusable, and scalable data models to ensure your internal customers get consistent and reliable answers when running their own analyses
- Strong skill set in data modelling
- Build and maintain data pipelines
- Perform complex data analysis using SQL
- Develop and maintain data and coding standards, produce well-documented code with robust testing
- Mentor junior team members
Requirements:
- You are a SQL wizard
- ETL/ELT knowledge
- DBT
- Looker
- You know how to use version control effectively (git, bitbucket)
- The terminal is your second home!
- Demonstrable experience of building data pipelines
- Clear ability to prioritise tasks and drive them through to completion
Nice to have:
- Snowflake
- Python experience
- Terraform
- CI/CD
Senior Analytics Engineer employer: MVF
Contact Detail:
MVF Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Familiarise yourself with our tech stack, especially SQL, DBT, and Looker. Being able to discuss your experience with these tools in detail will show us that you're ready to hit the ground running.
✨Tip Number 2
Prepare to demonstrate your problem-solving skills by thinking of specific examples where you've built data pipelines or models. We love hearing about real-world applications of your skills!
✨Tip Number 3
Brush up on your communication skills. You'll need to explain complex technical concepts to non-technical stakeholders, so practice simplifying your explanations without losing the essence of the information.
✨Tip Number 4
Show your enthusiasm for mentoring by sharing experiences where you've helped junior team members grow. We value collaboration and want to see how you can contribute to our team's development.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, ETL/ELT processes, and data modelling. Use specific examples that demonstrate your ability to build data pipelines and communicate technical information effectively.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the responsibilities listed in the job description, particularly your experience with tools like DBT and Looker.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work. This will help demonstrate your hands-on experience in building data pipelines.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Analytics Engineer.
How to prepare for a job interview at MVF
✨Showcase Your SQL Skills
As a Senior Analytics Engineer, your SQL expertise is crucial. Be prepared to discuss complex queries you've written and how they've impacted previous projects. Consider bringing examples of your work to demonstrate your proficiency.
✨Understand the Data Landscape
Familiarise yourself with the company's data architecture before the interview. This will allow you to speak knowledgeably about how you can contribute to their existing systems and suggest improvements based on your experience.
✨Communicate Effectively
You’ll need to convey technical information to both technical and non-technical audiences. Practice explaining complex concepts in simple terms, as this will be key in demonstrating your ability to collaborate with various stakeholders.
✨Prepare for Technical Questions
Expect questions related to ETL/ELT processes, data modelling, and tools like DBT and Looker. Brush up on these topics and be ready to discuss your hands-on experience with them, including any challenges you've faced and how you overcame them.
