Description:

The Data Engineer will be responsible for building core infrastructure software, including pipelines, APIs, and data modeling, as part of the client's data platform team.
The role involves instrumenting systems for performance and enhancement throughout the data offerings.
The engineer will ensure secure authentication patterns for various internal and external stakeholders.
Responsibilities include choosing and implementing appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption.
The engineer will coach and mentor other engineers to support their technical expertise growth.
The position requires proven experience in writing highly maintainable and performant Python code.
Experience in building modern data pipelines using tools such as dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow is essential.
A deep understanding of complex SQL, particularly Common Table Expressions and window functions, is required.
Experience with OLAP databases, especially Snowflake, is necessary.
The role also requires end-to-end monitoring and alerting experience using tools like CloudWatch and Datadog.

Requirements:

Proven experience writing highly maintainable and performant Python code is required.
Candidates must have experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow or similar technologies.
A strong understanding of Data Modeling patterns is necessary.
Deep knowledge of complex SQL, with an emphasis on Common Table Expressions and window functions, is required.
Experience working with OLAP databases, particularly Snowflake, is essential.
Candidates should have experience with end-to-end monitoring and alerting tools such as CloudWatch and Datadog.
Strong problem-solving skills that balance innovation with pragmatic technology choices are required.
Candidates must be comfortable working in a dynamic production environment and managing client expectations effectively.
A distinct customer focus and quality mindset are necessary.
Experience working closely with engineering leadership and architects to deliver high-quality solutions is required.
Candidates should maintain a high degree of ownership and transparency in deliverables.
Exceptional communication skills are necessary to communicate complex ideas simply.

The position offers company private health care.
Enhanced fully paid maternity and paternity leave for up to 6 months is provided.
Employees will have access to the company’s pension scheme.
The role includes 25 days of annual holiday, excluding public holidays.
An annual allowance of £2000 for training and conferences is available.
Employees receive a £300 annual allowance for additional hardware.
Mental health support is provided through access to the Spill app.
A subscription to meditation/sleep support apps like Headspace or Calm is included.
A performance-based bonus may be awarded depending on company results.
Employees will receive a company laptop.
There are generous referral schemes in place.