Analytics Engineer

Job title : Analytics Engineer
Full time / part time / job share : Full time
Job Family : Technology
Location : Uxbridge with flexibility to work from home
Our wonderful gaff is located in Uxbridge, in leafy West London. But if commuting to that
part of the country isn't warming your cockles - please don't be put off from applying for
this role.
The world has changed - particularly when it comes to ways of working. Most of our roles
can be on a work from home basis if needed, but we'll ferry you in a few times a year from
wherever you are in the UK for team or company days, or our famous giffgaff summer and
Christmas celebrations.

Who we are :
giffgaff is a little different to your ‘normal’ telecoms company. We’re a mobile brand
owned by Virgin Media O2 but run by our members (what we call our valued
customers) and we’ve been awarded Uswitch Network of year for 6 years out of 7!
Sounds interesting so far? There’s more.
The word giffgaff is an ancient Scottish word for “mutual giving”. Since we were
founded upon the principle of putting community first, it’s always been our aim to do
right by the planet and the people that live on it.
We started wanting to change the mobile industry, and we did - offering value,
flexibility and mutuality - but we aren’t done yet . As we’ve grown over the years,
we’ve grown our vision too.

We believe it’s our responsibility to make sure that:
● Keeping people connected doesn’t damage the planet
● Everyone can be connected, so everyone gets the same opportunities
● The connections we make online improve our lives

Our business model is unique. We take a highly collaborative approach to any
decision we make - working with our members (who are rewarded for helping) across
all areas of the business. Our vibrant community, online platform and immense value
proposition are key to our success. We’re both proud and humbled to say that over the
past few years our member base has grown, but our job is far from done. We’re always
looking to acquire new members - but to do that we need the best people to help and
that’s why we’re hiring!
The role and the team :
We are looking for a skilled Analytics Engineer to join our team and help build and
maintain robust data pipelines that support our analytics applications.
The Data Engineering team has recently undergone a technology transformation to
migrate from our legacy data warehouse to a brand-new data platform (Snowflake + dbt
+ Argo Workflows + Kafka) to better enable the exciting needs of our data stakeholders
(Data Science, Machine Learning and Business Intelligence, etc.).
Having built a strong technology foundation, we are now looking for ways to improve the
value that we deliver to our data stakeholders. The ideal candidate will have a strong
background in data engineering, analytics and be proficient in designing, building, and
deploying scalable data pipelines.
Product analytics is the practice of using data to inform decision-making related to user
behaviour, product development and improvement. As an Analytics Engineer, you will
work closely with the Data Science, Product teams and Business teams to build data
pipelines and analytical products to support self-serve analytics, data-driven
experimentation in Product Engineering.
Diversity and inclusion are a priority for us and we are making sure we have lots of support
for all of our people to grow at giffgaff.
Data and software engineering is at the heart of what we do here at giffgaff - our agile
engineering teams build and support a set of applications and services that combined
create our unique user experience on the giffgaff website, enable our internal teams to
work in the most productive and efficient ways and enable a whole range of awesome
features via modern APIs, events and microservices.

We have a culture of building and owning all the code that we use, and take pride in this.
This allows us to keep full control on what's going on and how we shape solutions.
Key responsibilities :
● Design and implement robust data models (e.g., star schema, snowflake schema,
data vault).
● Develop and maintain dimensional data models to support BI and reporting
requirements.
● Develop and implement analytics solutions to track key performance metrics
● Design and build data pipelines to collect, process, and store large volumes of
structured and unstructured data from various sources.
● Develop and maintain data quality checks and data validation processes.
● Develop and automate reports, dashboards, and data visualisations to
communicate insights and trends effectively to stakeholders.
● Build and maintain tooling and frameworks to automate data pipelines for
experimentation and ML modelling
● Develop and maintain a deep understanding of product domains to ensure
relevant events are produced and new entities and processes are integrated
downstream in the Snowflake data platform model
● Monitor and troubleshoot data pipeline issues and provide timely resolution.
● Work closely with product managers, data scientists, product analysts and
software engineers to identify analytical requirements.
Skills, experience and attitudes :
Must have:
● Bachelor's degree in computer science, engineering, mathematics, or a related
field.
● 3+ years of experience in data/analytics engineering with a focus on building data
pipelines.
● Proficiency in SQL and experience with one or more programming languages such
as Python, Java.
● Experience with modern cloud data warehouse platforms such as Snowflake,
BigQuery, Redshift or similar.

● Experience with cloud-based data platforms, particularly AWS or GCP.
● Experience with data warehousing, data modelling, and ETL development.
● Strong analytical & communication skills and an understanding of what drives the
performance of a product to reach the company's commercial goals.
● Hands-on experience with data visualisation tools such as Tableau, Looker,
Streamlit or Power BI.
● Strong problem-solving skills and attention to detail.
Valuable skills:
● Previous experience in similar analytics engineering roles with focus on product
analytics and data modelling is highly desirable.
● Experience working with distributed event stores and stream-processing platforms
such as Kafka of Kinesis.
● Experience working with batch processing frameworks, such as DBT, Argo
Workflows, Apache Airflow, etc.
● Familiarity with Docker, Kubernetes, Amazon EKS
● Familiarity with Continuous Integration with GitHub Actions
● Familiarity with Test-Driven Development and XP
Our commitment to equity, diversity and inclusion :
At giffgaff we want to challenge the old way of doing things. People, and the way they
work, define our culture and we encourage everyone to bring their whole selves to the
gaff. That's why we believe in creating an equitable, fairer, more inclusive business that
champions different ideas and perspectives. We may be sort-of-small but we're big on
that caring, sharing thing & strive to create a supportive culture.
As a lean organisation, our team is built of a diverse, spirited range of people who are
multi-skilled, highly motivated and flexible.
In return for your outstanding efforts, you'll be rewarded with a competitive salary and
excellent benefits. We believe that hard work should be supported and recognised.