Data Engineer

Midnite; United Kingdom; Remote; GBP 48,000 - 80,000; Full time

Benefits offered by this job

Health insurance

Income protection

Holiday entitlement

Flexible working

Home office setup

Nursery scheme

Salary sacrifice

Retail discounts

Team socials

Job summary

Midnite is seeking a Data Engineer to drive our data strategy across ingestion, modelling, and analytics enablement. You will own end-to-end data pipelines, collaborate on data architecture, and uphold engineering best practices.

The role emphasizes Python/SQL, Dagster, and Snowflake within a Remote UK setup. You will contribute to scalable data products, implement robust testing, and help shape our data tooling while working with cross-functional teams and maintaining high data quality

Qualifications

• 3+ years of experience in data engineering or similar role, with autonomous work and measurable impact.
• Strong Python and SQL skills; Snowflake preferred.
• Experience with monitoring/alerting tools and modern data orchestrators (Dagster, Airflow).
• Known data modelling concepts and data quality practices.
• Git and version-control workflows familiarity.

Responsibilities

• Own end-to-end data engineering projects.
• Build and optimise scalable data pipelines using Dagster, Python, Snowflake.
• Write clean, well-documented code and ensure quality and scalability.
• Maintain data quality via unit/integration tests and monitoring.
• Design data models aligned with best practices (Kimball, data vault).
• Participate in code reviews and provide constructive feedback.
• Contribute to data architecture design and stay abreast of industry trends.

Skills

Python

SQL

Git

Unit testing

Tools

Dagster

dbt

Snowflake

Airflow

Monitoring tools

Job description

Data Engineer

Team: Data • Location: Remote UK • Salary: up to £80,000 per annum

We’re looking for a Data Engineer to drive the next phase of our data strategy at Midnite. You’ll work across the full data lifecycle from ingestion and modelling to orchestration, monitoring, and analytics enablement, while also helping shape engineering best practices.

Tech Stack

Python, Docker, Dagster, dbt, Fivetran, Apache Iceberg, Snowflake, S3, ECS.

Responsibilities

• Take ownership of end-to-end data engineering projects.
• Design, build, maintain, and optimise scalable data pipelines using Dagster, Python, and Snowflake.
• Write clean, efficient, well‑documented code and ensure quality and scalability of the codebase.
• Ensure high standards of data quality through extensive unit testing, integration testing and data monitoring.
• Design and develop complex data models aligned with industry best practices.
• Participate in code reviews, providing constructive feedback to maintain high standards.
• Assist with the design and implementation of our data architecture.
• Stay up-to-date with industry trends and emerging technologies.

Essential Experience

• 3+ years of experience in a similar role, with a track record of autonomous work and impact.
• Strong expertise in Python and SQL (Snowflake preferred).
• Have experience using monitoring and alerting tools.
• Deep understanding of engineering best practices, e.g., unit testing, writing DRY code.
• Hands‑on experience with a modern data orchestrator (e.g., Airflow, Dagster, Prefect).
• Knowledge of data modelling concepts and methodologies (Kimball dimensional modelling, data vault, etc.).
• Proficiency with dbt.
• Comfortable working with Git and version control workflows.

Desirable Experience

• Experience with Snowflake.
• Experience with AWS’s data ecosystem.
• Experience implementing low‑latency analytics at scale.
• Experience with infrastructure‑as‑code (Terraform preferred).
• Experience delivering full end‑to‑end data products, including data visualisation and BI.

Benefits

• Private health insurance with zero excess, including optical cover and optional dental.
• Income protection.
• Tenure holiday policy: after three years extra 2 days, increasing to 30 days annually after five years.
• Flexible working and fully supported home office setup.
• Nursery salary sacrifice scheme.
• Salary sacrifice schemes for tech and holidays.
• Retail discounts and subscription perks across a wide range of brands.
• Quarterly team socials.

At Midnite, we’re committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders.

We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.