Data Engineer

Posted 4 Hours Ago
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United Kingdom
Mid level
Fintech • Payments • Software • Financial Services
The Role
Seeking a talented Data Engineer to develop and maintain the data architecture of a fintech platform. Responsibilities include data integration, data modelling, and optimizing data pipelines. Requires strong problem-solving skills and collaboration with cross-functional teams.
Summary Generated by Built In

Description

Kody, a fast-growing Fintech specialising in bringing online payments and better financial services to brick and mortar businesses, is seeking a talented Data Engineer to join their dynamic team.

In this role, you will be responsible for developing, constructing, and maintaining the data architecture of Kody's platform. You will work closely with cross-functional teams to design and implement data solutions that enable data-driven decision making and support business operations. This role requires a deep understanding of data integration, data modelling, and experience working with data pipelines and large volumes of data.

Kody's data stack for storage and processing currently consists of several tools and technologies, including Postgres, InfluxDB, Kafka, S3, BigQuery, Fivetran, Datadog, and Looker.

The ideal candidate will have strong problem-solving skills, be a team player, and be proactive in their approach to achieving company goals.

Responsibilities

  • Design, develop, and maintain data architectures and infrastructure
  • Collaborate with cross-functional teams to understand data needs and develop solutions
  • Implement ETL processes to extract, transform, and load data from various sources
  • Create and optimize SQL queries for data analysis and reporting
  • Implement and maintain data pipelines and workflows
  • Perform data validation and quality assurance tasks
  • Monitor and optimize database performance
  • Stay up-to-date with emerging trends and technologies in the data engineering field
Requirements
  • At least 3 years of experience in data engineering or a related field
  • Strong SQL skills and experience with relational databases (PostgreSQL preferred)
  • Experience with ETL tools and processes
  • Working knowledge of data modelling and database design principles
  • Experience with scripting languages (Python, Bash)
  • Experience with cloud-based data platforms (AWS, GCP, we use both)
  • Proficient in data warehousing concepts and methodologies
  • Experience with data visualisation tools (Tableau, Power BI, Looker. We use Looker and it would be fantastic if you do as well)
  • Experience with version control systems (Git)
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills
Benefits
  • We're a fast growing, exciting company within a rapidly developing industry. You'll be surrounded by super ambitious individuals who think really big.
  • Remote only, but we meet a few times a year to get together as a team.
  • Annual learning and development allowance on training related to your role
  • Allowance to spend on your home office set-up (excluding your laptop, monitor, etc which are already part of the job. This allowance is for making your workplace comfy)
  • Every year you'll get 25 days of holiday leave plus an extra day of leave for life events like your birthday
  • Enhanced parental leave

Top Skills

Postgres
The Company
HQ: London
53 Employees
On-site Workplace
Year Founded: 2018

What We Do

Kody is on a mission to make in-person payment acceptance easy. Today, paying in person presents common problems for businesses, such as high costs, long queues, and limited choice of payment methods. Kody fully integrates the payment ecosystem. This way, businesses can offer customers more control over their payment choices to make transactions quicker and simpler.

Founded by a small group of final-year high school students and launched in July 2022, 24-year-old founder Yoyo Chang (CEO) studied at the University of Cambridge & York whilst raising US$10M. Today, Kody's platform is growing to connect millions of end-users with venues all over the world.

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