Data Engineer

Solirius Consulting

Data Engineer role at Solirius, developing data pipelines for analysis and machine learning. Collaborate with teams for high-quality data solutions in a hybrid work environment.

Posted 4/29/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDjangoDockerETLFlaskGoogle Cloud PlatformHadoopKafkaNoSQLPostgresSparkSQLTableau

About the role

Key responsibilities & impact

You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning.
You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability.

Requirements

What you’ll need

Develop Data Engineering solutions for our clients/projects
Design and build data models, schemas to support business requirements
Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc.
Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.
Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities.
Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc.
Experience in operating as part of data engineering teams and independently.
Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial)
SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL)
You have framework experience within either Flask, Tornado or Django, Docker
Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo
Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.
Data acquisition and development of data sets and improving data quality
Preparing data for predictive and prescriptive modelling
Reporting tools (e.g. Tableau, PowerBI, Qlik)
GDPR and Government Service Standard (desirable)
Passionate, motivated and enthusiastic about developing technology solutions.
Experience working in an Agile development environment

Benefits

Comp & perks

Competitive Salary
Bonus Scheme
Private Healthcare Insurance
25 Days Annual Leave + Bank Holidays
Up to 10 days allocated for development training per year
Enhanced Parental Leave
Paid Fertility Leave (5 Days)
Statutory & Contributory Pension
EAP with Help@Hand
Gym Membership Benefits
Flexible Working
Annual Away Days/Company Socials

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata modelingdata ingestionETLSQLNoSQLbig data technologiescloud computingpredictive modelingprescriptive modeling

Soft Skills

collaborationproblem-solvingcommunicationmotivationenthusiasmadaptabilityindependenceteamworkattention to detailpassion