Data Analytics Engineer I Data engineering London

Checkout Ltd; Greater London; On-site; GBP 65,000 - 98,000; Full time

Benefits offered by this job

Hybrid work model

Office three days a week

Job summary

Checkout.com is hiring an Analytics Engineer to design and build data pipelines that process data from our systems and services. The role partners with Finance to translate requirements into robust models and reliable data processing.

You will maintain data quality while enabling scalable analytics across the business. The position is hybrid in London, three days in the office, and you will work with Finance and Treasury teams to uphold data integrity and compliance as Checkout continues to

Qualifications

• 2+ years in Analytics/Data Engineering with large-scale data transformation
• Excellent SQL coding skills
• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
• Experience with data transformation tools (dbt, Dataflow)
• Understanding of data modeling techniques
• Experience with visualization tools (Looker, Tableau, Superset)
• Knowledge of Python, Java or Flink is a plus
• Strong attention to detail
• Ability to work autonomously in a fast-paced environment
• Strong communication and interpersonal skills

Responsibilities

• Design and build data pipelines across systems and applications.
• Implement monitoring and alerting for data pipelines.
• Collaborate on scalable data models for downstream analytics.
• Ensure data governance and security across systems.
• Evaluate new technologies to improve the platform.
• Translate business requirements into technical specs and SLAs.

Skills

SQL

Snowflake

BigQuery

Redshift

dbt

Dataflow

Data modeling

Looker

Tableau

Apache Superset

Software engineering practices

Python

Java

Flink

Attention to detail

Autonomy

Communication

Job description

Company Description

We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.

We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.

Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.

With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.

You will be joining the Financial Infrastructure team, responsible for building and maintaining the core systems powering our internal financial ecosystem. Every year, we process hundreds of billions of events that have a financial impact on Checkout.com and our merchants. Our team is responsible for maintaining an accurate record of all financial data, the data integrity of our systems and ensuring our infrastructure meets regulatory and compliance obligations in a scalable, reliable and fault-tolerant manner.

As an Analytics Engineer, you will play a pivotal role in our mission to make our financial data capabilities world-class. You will work closely with our Finance and Treasury teams to translate their requirements into robust and intuitive data models. You will design and build the data pipelines necessary to process and transform large amounts of data that our systems generate. You will be responsible for ensuring the accuracy and reliability of these data pipelines, as Checkout continues to scale as a business. You will have ownership over these processes, allowing you to take charge in maintaining a high standard of data quality.

How You’ll Make An Impact

• Design and build data pipelines to process data from our systems, services and applications.
• Implement monitoring and alerting frameworks to ensure data pipeline performance and reliability.
• Partner with other analytics engineers to design and implement scalable data models that support downstream business operations and analytical queries.
• Ensure data governance and security standards are maintained across our systems.
• Continuously evaluate and implement new technologies to improve our platform and systems.
• Collaborate with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements.

Qualifications

• 2+ years of experience in an Analytics Engineering or Data Engineering role with a focus on large scale data transformation and data warehousing.
• Excellent SQL coding skills.
• Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift.
• Experience with data transformation tools such as dbt, or Dataflow.
• Understanding of data modeling techniques.
• Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset.
• Understanding of software engineering best practices and their application to data processing systems.
• Knowledge of Python, Java or Flink is a plus, but not a necessity.
• Strong attention to detail.
• Ability to work autonomously in a fast-paced and dynamic environment.
• Strong communication and interpersonal skills.

Additional Information

Bring all of you to work

We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.

Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.

We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.

It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.

Life at Checkout.com

We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.

Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.

For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram