Analytics Engineer - 12 Month FTC

Kaluza Limited; Bristol; Hybrid; GBP 55,000 - 82,000; Full time

Job summary

A leading energy technology company in the UK is seeking an Analytics Engineer to build and optimize data infrastructures. Responsibilities include pipeline development and data modeling. Ideal candidates should have experience with analytics engineering, data transformation, and a passion for making data reliable and actionable. Benefits include generous holiday, health insurance, and personal learning budgets.

Benefits

Pension Scheme

Discretionary Bonus Scheme

Private Medical Insurance

Life Assurance

26 days holiday

Flexible bank holidays

Progressive leave policies

Dedicated personal learning budgets

Qualifications

• Experience with analytics engineering delivering analytical solutions.
• Experience with data modelling using DataForm or DBT.
• Experience designing and building large-scale data pipelines.

Responsibilities

• Design, build, and maintain robust data pipelines.
• Develop and maintain logical and physical data models.
• Transform raw data into clean datasets for analysis.

Skills

Analytics engineering experience

Data modelling with DBT

Complex data processing pipelines

Scalable analytical products

Agile development environment

Large-scale data pipelines

Tools

DBT

SQL

Python

Terraform

Kafka Streams

Job description

Overview

Join to apply for the Analytics Engineer - 12 Month FTC role at Kaluza.

Kaluza reimagines energy to bring net-zero within everyone’s reach. Our intelligent platform enables energy utilities to unlock the full value of a radically changing energy system and propel us to a future where renewable energy is sustainable, affordable and accessible for all.

Location: London / Bristol / Edinburgh

Salary: £55,000 - £81,500

What you will be doing

As an Analytics Engineer, you will be responsible for designing, developing, and optimising our data infrastructure and analytical tools. You will work closely with data engineers, data analysts, and business stakeholders to ensure that data is reliable, accessible, and actionable. Your role will involve transforming raw data into a more refined form, creating data models, and ensuring the data pipelines are efficient and scalable.

Key responsibilities include:

• Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient data pipelines using tools like DBT, SQL, Python, and ETL frameworks.
• Data Modelling: Develop and maintain logical and physical data models that support the company's reporting and analysis needs. Implement best practices for data warehouse design.
• Data Transformation: Transform raw data from various sources into clean, reliable datasets that can be used for analysis and reporting, ensuring data quality and consistency.
• Collaboration with Stakeholders: Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and translate these requirements into technical solutions.
• Performance Optimization: Optimise existing data processes for performance and scalability, ensuring that data can be processed quickly and efficiently.

Qualifications

• You have experience with analytics engineering delivering analytical solutions (e.g. in the Databricks stack)
• You have experience with data modelling using tools such as DataForm or DBT
• You have experience orchestrating complex data processing pipelines
• You love building scalable, resilient analytical products
• You seek learning opportunities to deepen your expertise or broaden your knowledge
• You are a data engineer, analytics engineer or software engineer with an interest in the data domain (data modelling, data transformation, etc.) or highly motivated technical data analyst
• You are comfortable working in an agile development environment that uses Terraform, continuous integration and continuous delivery best practices, and have experience of pair programming, CI/CD and deployment strategies
• You have experience designing and building large-scale data pipelines that utilise streaming technologies (e.g. Kafka Streams, Amazon Kinesis or similar) with an emphasis on the sourcing and transformation of data

Benefits

• Pension Scheme
• Discretionary Bonus Scheme
• Private Medical Insurance + Virtual GP
• Life Assurance
• Access to Furthr - a Climate Action app
• Free Mortgage Advice and Eye Tests
• Perks at Work - access to thousands of retail discounts
• 5% Flex Fund to spend on the benefits you want most
• 26 days holiday
• Flexible bank holidays, giving you an additional 8 days which you can choose to take whenever you like
• Progressive leave policies with no qualifying service periods, including 26 weeks full pay if you have a new addition to your family
• Dedicated personal learning and home office budgets
• And more…

Company values

Here at Kaluza we have five core values that guide us as a business: We’re on a mission, We build together, We’re inclusive, We get it done, We communicate with purpose. Our values are not words on a wall — they are at the heart of our culture. They are how we make decisions and how we treat each other. They are concrete and clear, and reflect what we as people, and as a business, really care about. Kaluza’s vision is to power a world where net-zero is within everyone’s reach.

From us you’ll get benefits from day 1 when you join.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Technology, Information and Internet

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