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Analytics Engineer

DELIVEROO

London

On-site

GBP 50,000 - 70,000

Full time

5 days ago
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Job summary

Deliveroo is looking for an Analytics Engineer to join the Analytics Engineering team in London. The role involves providing clean and well-structured data sets for users and optimizing the usage of Looker as a business intelligence tool. Candidates should have strong experience in Analytics Engineering, data warehousing, and relevant tools such as Snowflake and Looker.

Benefits

Free Deliveroo Plus
25 days annual leave plus bank holidays
Funded single cover healthcare
Discounted gym memberships
Maternity and paternity leave from day one
Cycle to Work Scheme
Access to RooLearn for training

Qualifications

  • 3+ years Analytics Engineering / Data Engineering / BI Engineering experience.
  • Knowledge of cloud-based MPP data warehousing (Snowflake, BigQuery, Redshift).
  • SQL ETL/ELT knowledge and experience with DAGs for managing script dependencies.

Responsibilities

  • Create clean, well-documented data sets for data scientists and business users.
  • Maintain and develop SQL data transformation scripts.
  • Collaborate with product engineering teams for data modeling.

Skills

Analytics Engineering
Data Engineering
BI Engineering
SQL
Python

Tools

Looker
Snowflake
BigQuery
Redshift

Job description

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Why Deliveroo?

We're building the definitive online food company, transforming the way the world eats by making hyper-local food more convenient and accessible. We obsess about building the future of food, whilst using our network as a force for good. We're at the forefront of a industry, powered by our market-leading technology and unrivalled network to bring incredible convenience and selection to our customers.

Working at Deliveroo is the perfect environment to build a definitive career, motivated by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities.

The Role

Working as part of our Analytics Engineering team and reporting to one of our Analytics Engineering Managers, your role will be to provide clean, tested, well-documented and well-modelled data sets, that will enable and empower data scientists and business users alike, via tools like Snowflake and/or Looker.

You'll work with product engineering teams to ensure modelling of source data meets downstream requirements.

You will maintain and develop SQL data transformation scripts, and advise and review data scientists on data modelling to achieve denormalised and aggregated output datasets.

You'll work with data scientists and other analytics engineers to surface clean, intuitive datasets in our BI tool, Looker.

You will be responsible for optimisation and further adoption of Looker as a data product in the business, catering to ~1500 current active users who need to discover and interact with data.

Skillset

Required

3+ years Analytics Engineering / Data Engineering / BI Engineering experience

Understanding of data warehousing, data modelling concepts and structuring new data tables

Knowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift)

Nice to have

Experience developing in a BI tool (Looker or similar)

Good practical understanding of version control

SQL ETL/ELT knowledge, experience with DAGs to manage script dependencies

Python coding skills, particularly in the areas of automation & integrations

Good knowledge of the Looker API

Workplace & Diversity

At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer multiple great benefits in areas including health, family, finance, community, convenience, growth and relocation.

We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest growing start-ups around.

A competitive and comprehensive compensation and benefits package

1

Compensation
  • We aim to pay every employee competitively for the role they are performing in their respective location
  • Depending on role and location, some employees may be eligible for an annual cash bonus, sign-on bonus or relocation support
  • Up to 5% matched pension contributions
2
Equity
  • Some roles may be eligible for share awards, giving them ownership in Deliveroo and a share in our success
3
Food
  • Free Deliveroo Plus: free delivery and access to special offers
  • Team lunches from the best local restaurants
4
Time away
  • 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo
  • One day of paid leave per year to volunteer with a registered charity
5
  • Funded single cover healthcare on our core plan, with the option to add family members at own cost
  • On-site gym (HQ), discounted external gym membership
  • Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass
  • Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments
  • Life assurance
6
Work Life
  • Maternity, paternity and maternity and shared parental leave, eligible from day one of employment
  • Excellent kit to enable working from home and a parent-friendly working culture
  • Access to free mortgage advice
  • Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel
  • Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content
  • Regular Employee Resource Group (ERG) led social events – examples include dinners, dance lessons and in-office yoga sessions
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