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- Tasks: Join a dynamic team to design and implement a cutting-edge data warehouse.
- Company: Be part of a fast-growing startup focused on data-driven culture and innovation.
- Benefits: Enjoy a competitive daily rate and remote work flexibility with occasional in-person meetings.
- Why this job: Make a real impact by optimizing data systems and supporting AI capabilities in a collaborative environment.
- Qualifications: Proven experience in data warehousing, MongoDB, ElasticSearch, and strong communication skills required.
- Other info: Initial 3-month contract with potential for extension; must be UK-based.
The predicted salary is between 42000 - 60000 £ per year.
Senior Data Consultant / Engineer
BigQuery – Snowflake
Initial 3-month contract
£525-565 per day, Outside IR35
Start date: 10th of February 2025
Remote – 1 day per month in Bristol
Contractor must be based in the UK
Unify are proud to be exclusive representing a cutting edge Startup who are experiencing rapid growth.
As the team scales and matures the business is looking to engage the services of a Senior Data Consultant / Engineer on a contract basis for initially 3 months, to help them build a robust, futureproof data warehouse system to enhance and optimize their Data capabilities.
About the Team:
They\’re a fast growing team with 8 engineers and the foundations of a data science team. They are transitioning towards a data-driven culture, focusing on enhancing access to their data and enabling reporting capabilities without extensive engineering involvement.
Current Data Infrastructure:
– Data Flow: Data is collected primarily through API, but also via client side analytics.
– Data Stores:
– Primary Store: MongoDB, storing the majority of their data.
– Reporting Tool: ElasticSearch, used increasingly for serving reports and analytics through frontend applications.
Challenges:
– Latency issues with large data volumes.
– Difficulty generating ad-hoc reports without engineering support.
Objectives:
– Unlock access to existing data to allow their data scientist to generate reports independently.
– Optimise current data systems and usage.
– Support the business in harnessing AI capabilities for data analysis.
– Create a robust and efficient data warehouse to streamline reporting processes and accommodate future growth.
Scope of responsibilities:
- System Review: Assess the current data architecture and reporting capabilities.
- Stakeholder Collaboration: Work closely with the VP of Engineering, senior engineers, tech leads, and data scientists to gather requirements and understand business needs.
- Design and Proposal: Produce a proposal outlining the architecture and design of the new data warehouse, considering factors such as scalability, performance, and cost. Include recommendations for optimisations of current systems. Present this proposal no later than the end of Month 1.
- Implementation: Develop and implement the data warehouse using appropriate technology (such as AWS, BigQuery, Snowflake, etc.). Ensure that the architecture is well-documented and meets the identified requirements.
- Handover: Assist in onboarding a newly recruited mid-level data engineer and provide comprehensive documentation for them to understand the system.
Deliverables:
– A documented proposal for the data warehouse architecture
– Recommendations for improvements and optimisations to current systems
– Implementation of the data warehouse, ensuring it meets performance and reporting needs
– Comprehensive documentation and training for the new data engineer
– Final rollout and verification of the implemented system.
Technical Skills, Qualifications and background:
– Proven experience designing and implementing data warehouses.
– Proficiency in MongoDB and ElasticSearch would be desirable, and/or strong experience with alternative data storage solutions such as BigQuery and Snowflake.
– Strong understanding of data modeling and ETL processes.
– Ability to conduct performance analyses and troubleshoot latency issues.
– Excellent communication skills for collaborating with technical and non-technical stakeholders.
– Ideally experience in a similar role in a Startup environment and/or Fintech industry experience.
Project Methodology:
– The core Engineering team follows a form of the ShapeUp process, though the contractor will not be required to adhere strictly to this framework.
– Expected to be visible and present progress updates to the team throughout the contract duration.
Please reach out to our Talent Manager, Mark Brereton for more information.
Thanks
Senior Data Consultant employer: Unify Talent - IT, Digital & Tech Recruitment
Contact Detail:
Unify Talent - IT, Digital & Tech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Consultant
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as BigQuery and Snowflake. Having hands-on experience or relevant projects to discuss can set you apart during conversations.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in startups or fintech. Engaging with them on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experiences with data architecture and how you've tackled challenges similar to those listed in the job description, such as latency issues and ad-hoc reporting.
✨Tip Number 4
Showcase your communication skills by being ready to explain complex technical concepts in simple terms. This will demonstrate your ability to collaborate effectively with both technical and non-technical stakeholders.
We think you need these skills to ace Senior Data Consultant
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Consultant position. Understand the key responsibilities, required skills, and the company's objectives to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with data warehouses, particularly with technologies like MongoDB, BigQuery, and Snowflake. Provide specific examples of past projects where you successfully designed or implemented data solutions.
Showcase Communication Skills: Since the role involves collaboration with both technical and non-technical stakeholders, highlight your communication skills. Include examples of how you've effectively communicated complex data concepts to diverse audiences.
Tailor Your Proposal: If asked to submit a proposal as part of your application, ensure it outlines your approach to designing a data warehouse. Address scalability, performance, and cost considerations, and demonstrate your understanding of the company's current challenges.
How to prepare for a job interview at Unify Talent - IT, Digital & Tech Recruitment
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data warehouses, particularly with technologies like BigQuery and Snowflake. Highlight specific projects where you've designed or implemented data solutions, and be ready to explain your approach to overcoming challenges such as latency issues.
✨Understand the Business Needs
Research the company and its current data infrastructure. Be ready to discuss how you can help transition them towards a data-driven culture and enhance their reporting capabilities. Demonstrating an understanding of their objectives will show that you're aligned with their goals.
✨Prepare for Stakeholder Collaboration
Since the role involves working closely with various stakeholders, practice articulating how you would gather requirements and communicate effectively with both technical and non-technical team members. Share examples of past collaborations that led to successful outcomes.
✨Present a Proposal Idea
Think about what your proposal for the new data warehouse architecture might look like. Be ready to discuss your ideas on scalability, performance, and cost-effectiveness. This will demonstrate your proactive thinking and ability to contribute from day one.
