Senior Data Engineer: Cloud, Pipelines & Data Quality

Solirius Reply; United Kingdom; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Competitive Salary

Bonus Scheme

Private Healthcare Insurance

25 Days Annual Leave + Bank Holidays

Development Training Allocation

Pension

Job summary

Solirius Reply is seeking a Senior Data Engineer to design and deliver data pipelines and models for client projects in the UK. You will collaborate with data scientists and analysts to ensure clean, reliable data for analytics and machine learning.

The role emphasizes data quality, governance, and scalable architectures across cloud environments. You will work within agile teams, contributing to data strategy, pipelines, and best practices while engaging with stakeholders to translate

Qualifications

• Experience delivering data engineering solutions in teams or independently.
• Strong SQL and relational DB design skills with data modelling experience.
• Hands-on Python development with data pipelines and ETL orchestration.

Responsibilities

• Develop data engineering solutions for client projects.
• Design and build data models and schemas to support business needs.
• Build and maintain data ingestion and processing systems (ETL/ELT).
• Collaborate with data scientists and analysts to ensure data quality.
• Lead data model design, pipelines, and deployments.
• Define and manage SLAs for datasets and data products.
• Stay updated with modern data stack and cloud trends.
• Support operational excellence and data governance.

Skills

Data pipelines

SQL/Relational DB

Python

Cloud (Azure/AWS)

ETL/Orchestration

Airflow

Big data

Data quality

Agile

Communication

Education

Bachelor's degree in Computer Science or related

MSc in Data/Technology

Tools

SQL

NoSQL

Airflow

Luigi

Argo

Tableau/PowerBI

Docker

Kubernetes

Job description

Solirius Reply is seeking a Senior Data Engineer to design and deliver data pipelines and models for client projects in the UK. You will collaborate with data scientists and analysts to ensure clean, reliable data for analytics and machine learning.

The role emphasizes data quality, governance, and scalable architectures across cloud environments. You will work within agile teams, contributing to data strategy, pipelines, and best practices while engaging with stakeholders to translate