Quick overview
Job description
Our client is a digital and technology consultancy.
About Us:
Our client, part of our client, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery.
We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact.
Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors.
Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI.
We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact.
About You:
You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes.
The Role:
We are looking for an experienced Senior Data Engineer to join our team here at our client. 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.
Requirements
Key Responsibilities:
- 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
- Assist with defining the processes needed to achieve operational excellence
- 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
Key Skills/Experience:
- Experience in operating as part of data engineering teams and independently.
- Line/Team management experience, leadership experience
- 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
- Hands on coding experience, such as Python
- 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
- Data architecture experience.
- Active Security Clearance
Benefits
- 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
- Cycle to Work and Electric Vehicle schemes
- Flexible Working
- Annual Away Days/Company Socials
Diversity and Inclusion
As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs.
Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive.
Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us.
As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.
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