At a Glance
- Tasks: Design and develop data pipelines, ensuring data quality for exciting projects.
- Company: Join Solirius Consulting, a leader in technical consultancy with top-tier clients.
- Benefits: Enjoy flexible working, private healthcare, and a generous bonus scheme.
- Other info: Dynamic team environment with opportunities for career growth and development.
- Why this job: Make a real impact in data engineering while collaborating with tech experts.
- Qualifications: Experience in data engineering, cloud infrastructure, and hands-on coding skills required.
The predicted salary is between 60000 - 75000 £ per year.
Solirius Consulting delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We currently have over 250 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose.
We are looking for an experienced Senior Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. 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.
Typical qualities of a Solirius consultant are:
- 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.
- Work 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.
- Ensure data quality across all projects/clients
- Define and manage SLA’s for data sets and processes throughout production
- Lead on the design, build and launch of new data models and pipelines
- 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)
- Framework experience within either Flask, Tornado or Django, Docker
- 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
- Hands on coding experience, such as Python
- Experience with Tableau, PowerBI, Qlik
- Experience working in an Agile development environment
- Data architecture experience.
Competitive salary, dependent on experience. Flexible working / Work from home. Private Healthcare. Generous annual discretionary bonus. 25 days annual leave.
