Analytics Engineer Careers at Perk - London, United Kingdom | Apply Now!
Perk
Analytics Engineer Careers at Perk - London, United Kingdom | Apply Now!
Job Description
Analytics Engineer at Perk: Powering Real Work in London
Role Overview
At Perk, formerly TravelPerk, we're revolutionizing travel and spend management with our intelligent platform. We automate tedious tasks, empowering businesses to focus on what truly matters. As an Analytics Engineer, you'll be a critical bridge between Data Engineering and Data Analytics, transforming raw data into trustworthy and easily consumable assets for our business users.
This role is perfect for someone passionate about data quality, data modeling, and building scalable data solutions. You'll leverage your expertise in SQL, dbt, and cloud data platforms to create impactful data visualizations and optimize our data warehouse. You will be working with a modern data stack in a fast paced environment.
A Day in the Life of an Analytics Engineer
Here’s what a typical day might look like:
- Morning: Start with a review of overnight data quality checks. Investigate and resolve any data anomalies, ensuring data integrity. Participate in a team stand-up to discuss progress and blockers.
- Mid-day: Work on developing and refining dbt models to transform raw data into actionable insights. Collaborate with data analysts to understand their reporting needs and refine data models accordingly.
- Afternoon: Focus on optimizing SQL queries to improve the performance of Looker dashboards. Build new data visualizations based on evolving business requirements. Participate in a code review session, providing and receiving feedback on data transformation code.
- Late Afternoon: Document data models and transformation logic. Conduct testing on new data pipelines. Research and experiment with new data stack tools and techniques.
Why London?
London is a global hub for technology and innovation, making it the perfect location to advance your career as an Analytics Engineer. Perk's London office offers a vibrant and collaborative work environment, surrounded by top talent and cutting-edge companies. You'll also enjoy the rich culture, diverse cuisine, and world-class amenities that London has to offer.
Career Path
At Perk, we believe in fostering growth and development. As an Analytics Engineer, you'll have opportunities to advance your career in several directions:
- Senior Analytics Engineer: Become a subject matter expert, leading complex data modeling projects and mentoring junior engineers.
- Data Architect: Focus on designing and implementing the overall data architecture, ensuring scalability and performance.
- Data Engineering Manager: Lead a team of data engineers, responsible for the data ingestion, transformation, and storage infrastructure.
- Analytics Manager: Lead a team of data analysts, focused on deriving business insights from data.
Salary & Benefits
The estimated salary range for this role in London is $75,000 - $110,000 USD per year. Actual compensation may vary based on experience and qualifications.
In addition to competitive pay, Perk offers a comprehensive benefits package, including:
- Comprehensive health, dental, and vision insurance
- Generous paid time off
- Employee stock options
- Professional development budget
- Company-sponsored events and activities
- Flexible work arrangements
Perk Culture: Work with Real Impact
At Perk, we are driven by our values: being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries.
If you’re excited about having a real impact and shaping how millions of people experience work, we’d love you on the team!
How to Apply
Ready to join the Perk team? Apply now by submitting your resume and cover letter through our online application portal. Be sure to highlight your relevant skills and experience in data modeling, SQL, and cloud data platforms.
Frequently Asked Questions (FAQ)
- What is Perk's mission? Perk's mission is to power real work, with real impact, by eliminating shadow work that wastes time and erodes morale.
- What technologies does Perk use? Perk uses a modern data stack, including Snowflake, dbt, Looker, and other cutting-edge tools.
- What is the company culture like? Perk has a collaborative and supportive culture, driven by values of ownership, customer focus, and teamwork.
- What are the growth opportunities at Perk? Perk offers ample opportunities for professional development and career advancement.
- What is the interview process like? The interview process typically involves a phone screening, a technical interview, and a final interview with the hiring manager.
- Does Perk offer remote work options? Perk offers flexible work arrangements, including remote work options for some roles.
- What kind of training is provided? Perk provides on-the-job training and mentorship to help employees succeed in their roles.
- What is Perk's approach to diversity and inclusion? Perk is committed to creating a diverse and inclusive workplace where everyone feels valued and respected.
- What is the dress code at Perk? Perk has a casual dress code.
- What makes Perk a great place to work? Perk is a great place to work because of its mission-driven culture, talented team, and opportunities for growth.
Locations
- London, London, United Kingdom
Salary
82,500 - 121,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- dbtintermediate
- Data Modelingintermediate
- ETL/ELTintermediate
- Cloud Data Platformsintermediate
- Data Warehousing (Snowflake)intermediate
- Data Quality Testingintermediate
- CI/CDintermediate
- Data Lineageintermediate
- Lookerintermediate
- Data Visualisationintermediate
- Gitintermediate
- Data Analysisintermediate
- Performance Optimisationintermediate
- Data Ingestionintermediate
Required Qualifications
- Strong background in SQL, dbt, data modelling, and ETL/ELT principles. (experience)
- Experience with modern cloud data platforms. (experience)
- Experience in designing, developing, and maintaining efficient and scalable workflows. (experience)
- Proficiency in data modelling and software engineering techniques. (experience)
- Experience with data quality checks, tests, and monitoring scripts. (experience)
- Ability to establish and maintain documentation for data transformations and models. (experience)
- Experience in collaborating with data analysts and business users. (experience)
- Ability to optimise SQL queries and data models for performance. (experience)
- Experience in adopting modern data stack tools and practices (e.g. Git, CI/CD). (experience)
- Experience in building scalable and compelling data visualisations in Looker. (experience)
- Experience with data warehousing solutions (Snowflake preferred). (experience)
- Familiarity with data ingestion strategies and platform optimisation. (experience)
Responsibilities
- Develop and maintain transformation best practices in ELT pipelines.
- Design, develop, and maintain efficient and scalable workflows using tools like dbt.
- Transform raw data loaded into our data warehouse (Snowflake) into clean, ready-to-use data models.
- Implement best-practice data modelling and software engineering techniques.
- Ensure data structures are optimised for performance, accuracy, and ease of use in reporting and analytical applications (e.g. CI/CD, testing, lineage).
- Write comprehensive data quality checks, tests, and monitoring scripts.
- Ensure the accuracy, completeness, and reliability of all transformed data assets.
- Establish and maintain documentation for all data transformations and models.
- Work closely with Data Analysts and business users to understand their reporting needs.
- Optimise data models to support analytical use cases.
- Collaborate with Data Engineers on data ingestion strategies and platform optimisation.
- Tune and optimise SQL queries and data models to reduce latency and improve the performance of our data warehouse and downstream applications.
- Champion the adoption of modern data stack tools and practices (e.g. Git, CI/CD).
- Build scalable, compelling data visualisations in Looker that can be used by large teams.
Benefits
- general: Competitive salary and benefits package.
- general: Opportunity to work in a fast-growing, innovative company.
- general: Collaborative and supportive work environment.
- general: Chance to make a real impact on how millions of people experience work.
- general: Professional development and growth opportunities.
- general: Flexible work arrangements.
- general: Generous vacation and time off policy.
- general: Health insurance and wellness programs.
- general: Employee stock options.
- general: Company-sponsored events and activities.
- general: Access to cutting-edge technology and tools.
- general: Opportunity to work with a diverse and talented team.
- general: Pension plan.
- general: Life insurance.
- general: Disability insurance.
Tags & Categories
Answer 10 quick questions to check your fit for Analytics Engineer Careers at Perk - London, United Kingdom | Apply Now! @ Perk.
Related Books and Jobs
Analytics Engineer Careers at Perk - London, United Kingdom | Apply Now!
Perk
Analytics Engineer Careers at Perk - London, United Kingdom | Apply Now!
Job Description
Analytics Engineer at Perk: Powering Real Work in London
Role Overview
At Perk, formerly TravelPerk, we're revolutionizing travel and spend management with our intelligent platform. We automate tedious tasks, empowering businesses to focus on what truly matters. As an Analytics Engineer, you'll be a critical bridge between Data Engineering and Data Analytics, transforming raw data into trustworthy and easily consumable assets for our business users.
This role is perfect for someone passionate about data quality, data modeling, and building scalable data solutions. You'll leverage your expertise in SQL, dbt, and cloud data platforms to create impactful data visualizations and optimize our data warehouse. You will be working with a modern data stack in a fast paced environment.
A Day in the Life of an Analytics Engineer
Here’s what a typical day might look like:
- Morning: Start with a review of overnight data quality checks. Investigate and resolve any data anomalies, ensuring data integrity. Participate in a team stand-up to discuss progress and blockers.
- Mid-day: Work on developing and refining dbt models to transform raw data into actionable insights. Collaborate with data analysts to understand their reporting needs and refine data models accordingly.
- Afternoon: Focus on optimizing SQL queries to improve the performance of Looker dashboards. Build new data visualizations based on evolving business requirements. Participate in a code review session, providing and receiving feedback on data transformation code.
- Late Afternoon: Document data models and transformation logic. Conduct testing on new data pipelines. Research and experiment with new data stack tools and techniques.
Why London?
London is a global hub for technology and innovation, making it the perfect location to advance your career as an Analytics Engineer. Perk's London office offers a vibrant and collaborative work environment, surrounded by top talent and cutting-edge companies. You'll also enjoy the rich culture, diverse cuisine, and world-class amenities that London has to offer.
Career Path
At Perk, we believe in fostering growth and development. As an Analytics Engineer, you'll have opportunities to advance your career in several directions:
- Senior Analytics Engineer: Become a subject matter expert, leading complex data modeling projects and mentoring junior engineers.
- Data Architect: Focus on designing and implementing the overall data architecture, ensuring scalability and performance.
- Data Engineering Manager: Lead a team of data engineers, responsible for the data ingestion, transformation, and storage infrastructure.
- Analytics Manager: Lead a team of data analysts, focused on deriving business insights from data.
Salary & Benefits
The estimated salary range for this role in London is $75,000 - $110,000 USD per year. Actual compensation may vary based on experience and qualifications.
In addition to competitive pay, Perk offers a comprehensive benefits package, including:
- Comprehensive health, dental, and vision insurance
- Generous paid time off
- Employee stock options
- Professional development budget
- Company-sponsored events and activities
- Flexible work arrangements
Perk Culture: Work with Real Impact
At Perk, we are driven by our values: being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries.
If you’re excited about having a real impact and shaping how millions of people experience work, we’d love you on the team!
How to Apply
Ready to join the Perk team? Apply now by submitting your resume and cover letter through our online application portal. Be sure to highlight your relevant skills and experience in data modeling, SQL, and cloud data platforms.
Frequently Asked Questions (FAQ)
- What is Perk's mission? Perk's mission is to power real work, with real impact, by eliminating shadow work that wastes time and erodes morale.
- What technologies does Perk use? Perk uses a modern data stack, including Snowflake, dbt, Looker, and other cutting-edge tools.
- What is the company culture like? Perk has a collaborative and supportive culture, driven by values of ownership, customer focus, and teamwork.
- What are the growth opportunities at Perk? Perk offers ample opportunities for professional development and career advancement.
- What is the interview process like? The interview process typically involves a phone screening, a technical interview, and a final interview with the hiring manager.
- Does Perk offer remote work options? Perk offers flexible work arrangements, including remote work options for some roles.
- What kind of training is provided? Perk provides on-the-job training and mentorship to help employees succeed in their roles.
- What is Perk's approach to diversity and inclusion? Perk is committed to creating a diverse and inclusive workplace where everyone feels valued and respected.
- What is the dress code at Perk? Perk has a casual dress code.
- What makes Perk a great place to work? Perk is a great place to work because of its mission-driven culture, talented team, and opportunities for growth.
Locations
- London, London, United Kingdom
Salary
82,500 - 121,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- dbtintermediate
- Data Modelingintermediate
- ETL/ELTintermediate
- Cloud Data Platformsintermediate
- Data Warehousing (Snowflake)intermediate
- Data Quality Testingintermediate
- CI/CDintermediate
- Data Lineageintermediate
- Lookerintermediate
- Data Visualisationintermediate
- Gitintermediate
- Data Analysisintermediate
- Performance Optimisationintermediate
- Data Ingestionintermediate
Required Qualifications
- Strong background in SQL, dbt, data modelling, and ETL/ELT principles. (experience)
- Experience with modern cloud data platforms. (experience)
- Experience in designing, developing, and maintaining efficient and scalable workflows. (experience)
- Proficiency in data modelling and software engineering techniques. (experience)
- Experience with data quality checks, tests, and monitoring scripts. (experience)
- Ability to establish and maintain documentation for data transformations and models. (experience)
- Experience in collaborating with data analysts and business users. (experience)
- Ability to optimise SQL queries and data models for performance. (experience)
- Experience in adopting modern data stack tools and practices (e.g. Git, CI/CD). (experience)
- Experience in building scalable and compelling data visualisations in Looker. (experience)
- Experience with data warehousing solutions (Snowflake preferred). (experience)
- Familiarity with data ingestion strategies and platform optimisation. (experience)
Responsibilities
- Develop and maintain transformation best practices in ELT pipelines.
- Design, develop, and maintain efficient and scalable workflows using tools like dbt.
- Transform raw data loaded into our data warehouse (Snowflake) into clean, ready-to-use data models.
- Implement best-practice data modelling and software engineering techniques.
- Ensure data structures are optimised for performance, accuracy, and ease of use in reporting and analytical applications (e.g. CI/CD, testing, lineage).
- Write comprehensive data quality checks, tests, and monitoring scripts.
- Ensure the accuracy, completeness, and reliability of all transformed data assets.
- Establish and maintain documentation for all data transformations and models.
- Work closely with Data Analysts and business users to understand their reporting needs.
- Optimise data models to support analytical use cases.
- Collaborate with Data Engineers on data ingestion strategies and platform optimisation.
- Tune and optimise SQL queries and data models to reduce latency and improve the performance of our data warehouse and downstream applications.
- Champion the adoption of modern data stack tools and practices (e.g. Git, CI/CD).
- Build scalable, compelling data visualisations in Looker that can be used by large teams.
Benefits
- general: Competitive salary and benefits package.
- general: Opportunity to work in a fast-growing, innovative company.
- general: Collaborative and supportive work environment.
- general: Chance to make a real impact on how millions of people experience work.
- general: Professional development and growth opportunities.
- general: Flexible work arrangements.
- general: Generous vacation and time off policy.
- general: Health insurance and wellness programs.
- general: Employee stock options.
- general: Company-sponsored events and activities.
- general: Access to cutting-edge technology and tools.
- general: Opportunity to work with a diverse and talented team.
- general: Pension plan.
- general: Life insurance.
- general: Disability insurance.
Tags & Categories
Answer 10 quick questions to check your fit for Analytics Engineer Careers at Perk - London, United Kingdom | Apply Now! @ Perk.
Related Books and Jobs