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- Tasks: Help businesses centralise their data and develop scalable data infrastructures.
- Company: Rapidly growing data and analytics platform transforming decision-making.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the data revolution.
- Qualifications: Strong SQL skills, experience with cloud data warehouses, and knowledge of Python.
- Other info: Exciting career opportunities in a fast-paced, innovative environment.
The predicted salary is between 36000 - 60000 £ per year.
They are a rapidly growing data and analytics platform focused on helping businesses centralise and streamline their data. Their ETL-driven platform integrates machine learning and data science tools to support data-driven decision-making. Serving clients across various industries, including B2B SaaS, retail, and charity, they specialise in building scalable data infrastructures and delivering actionable insights.
With a strong emphasis on financial data, their team is dedicated to enabling clients to make more informed decisions by creating a single source of truth and optimising their data processes. They are expanding quickly and offer exciting opportunities for individuals passionate about data engineering, analytics, and cloud technologies.
We are seeking a Senior Data Consultant to help companies centralise their data using an ETL-driven decision intelligence platform with integrated machine learning and data science capabilities. This role will be instrumental in developing scalable data infrastructure and enabling clients to make data-driven decisions.
Key Responsibilities:- Build a single source of truth for clients by structuring and modeling data.
- Develop scalable data pipelines integrating financial, customer, CRM, ERP, and marketing data.
- Deliver end-to-end data modelling projects, connecting multiple sources and creating metrics/KPIs.
- Work primarily with SQL, dbt, and cloud data warehouses (Snowflake, BigQuery, Redshift).
- Strong proficiency in SQL with the ability to write complex queries, optimise performance, and manipulate large datasets efficiently.
- Experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift.
- Experience with dbt (Data Build Tool), particularly in managing and automating data transformation.
- Solid understanding of Python, especially in the context of automating data processes, integrating APIs, and implementing machine learning models.
- Practical experience working with key financial metrics, including revenue, retention, churn, and customer lifetime value.
- Demonstrated ability to integrate diverse data sources seamlessly, ensuring smooth data flow across systems.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Analyst and Engineering
Industries: IT Services and IT Consulting and Data Infrastructure and Analytics
Senior Data Consultant in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Consultant in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, dbt, and cloud data warehouses. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and case studies. Practice explaining your thought process when tackling data challenges, as this will demonstrate your analytical skills and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Data Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Consultant role. Highlight your experience with SQL, cloud data warehouses, and any relevant projects that showcase your skills in building scalable data infrastructures.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to emphasise your technical skills, especially with SQL, dbt, and Python. Provide examples of how you've used these tools in past roles to solve problems or improve processes, as this will resonate well with us.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and be ready to discuss complex queries you've written. Be prepared to explain how you've optimised performance in past projects, as this will show your technical prowess.
✨Showcase Your ETL Experience
Since the role focuses on building scalable data pipelines, come armed with examples of your experience with ETL processes. Discuss specific projects where you integrated various data sources and how you ensured data quality throughout.
✨Demonstrate Your Cloud Knowledge
Familiarise yourself with cloud data warehouses like Snowflake, BigQuery, or Redshift. Be ready to talk about how you've used these platforms to create robust data models and pipelines, as well as any challenges you faced and how you overcame them.
✨Connect Financial Metrics to Business Decisions
Understand key financial metrics such as revenue and customer lifetime value. Prepare to discuss how you've extracted actionable insights from these metrics in previous roles, as this will highlight your ability to drive business decisions through data.
