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- Tasks: Join us as a Senior Analytics Engineer, building and orchestrating data pipelines.
- Company: Work with a leading telecommunications company in the heart of London.
- Benefits: Enjoy a hybrid work model with competitive pay and flexible hours.
- Why this job: Be part of an innovative team, tackling big data challenges and making impactful decisions.
- Qualifications: Strong experience in Python, GCP, dbt, and data modelling is essential.
- Other info: Opportunity to mentor juniors and work with cutting-edge data tools.
The predicted salary is between 43200 - 50400 £ per year.
Senior Analytics Engineer - Python, GCP, DBT sought by leading telecommunications company based in the city of London. Inside IR35 - 2/3 days a week onsite.
What you'll need:
- Strong hands-on experience with source code control tools such as Git
- Experience building and orchestrating pipelines in dbt
- Experience with GCP
- Experience with Terraform
- Experience with version control for data models (e.g., dbt testing frameworks, data documentation)
- Demonstrated experience with data modelling concepts (dimensional modelling, star schemas)
- Experience writing efficient and optimised SQL for large-scale data transformations
- Understanding of data warehouse design principles and best practices
- Proactive approach to identifying and resolving data quality issues
- Strong communication skills with both technical and business customers
- Experience with CI/CD pipelines for data transformations
- Experience with data quality and testing tools (Great Expectations, dbt tests)
What will help you on the job:
- Experience working within an agile team and familiarity with JIRA
- Degree in a Data Science or Computer Science related discipline
- Experience with end user data and visualisation tools such as Tableau
- Experience working with APIs
- Experience working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools
- Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights
- Knowledge of data governance and metadata management
- Experience with data cataloguing tools
- Experience mentoring junior team members
- Familiarity with modern data stack tools (Airbyte, Fivetran, etc.)
Please apply within for further details or call on 07393149627.
Senior Analytics Engineer - Python, GCP, DBT | London, UK | Hybrid employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer - Python, GCP, DBT | London, UK | Hybrid
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as GCP, dbt, and Terraform. Having hands-on experience with these technologies will not only boost your confidence but also demonstrate your commitment to the role during interviews.
✨Tip Number 2
Showcase your experience with data modelling concepts and SQL by preparing examples of past projects where you successfully transformed large datasets. Be ready to discuss the challenges you faced and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 3
Brush up on your knowledge of CI/CD pipelines and data quality testing tools like Great Expectations. Being able to articulate how you've implemented these practices in previous roles can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the analytics field, especially those who work with telecommunications companies. Engaging in conversations about industry trends and challenges can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Senior Analytics Engineer - Python, GCP, DBT | London, UK | Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, GCP, and dbt. Use specific examples of projects where you've built and orchestrated pipelines, and mention any relevant tools like Terraform and Git.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Senior Analytics Engineer position. Discuss your hands-on experience with data modelling concepts and how you proactively resolve data quality issues.
Showcase Relevant Skills: Clearly outline your skills related to CI/CD pipelines, SQL optimisation, and data warehouse design principles. Mention any experience with data quality and testing tools, as these are crucial for the role.
Highlight Team Collaboration: Since the role involves working within an agile team, emphasise your experience collaborating with both technical and business customers. Share examples of how you've mentored junior team members or contributed to team success.
How to prepare for a job interview at Harvey Nash
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python, GCP, and dbt. Bring examples of projects where you've built and orchestrated pipelines, and be ready to explain your approach to data modelling and SQL optimisation.
✨Demonstrate Problem-Solving Abilities
Highlight instances where you've proactively identified and resolved data quality issues. Discuss your experience with CI/CD pipelines and how you've used testing tools like Great Expectations to ensure data integrity.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you'll need to interact with both technical and business stakeholders.
✨Familiarise Yourself with Agile Methodologies
Since the company values agile teamwork, brush up on your experience working within agile teams and using tools like JIRA. Be ready to discuss how you’ve contributed to team dynamics and project success in such environments.
