Senior Data Engineer

Job Description

Mott MacDonald

We’re a global engineering, management, and development consultancy.
Our purpose is to improve society by considering social outcomes in everything we do, relentlessly focusing on excellence and digital innovation, transforming our clients’ businesses, our communities and employee opportunities.

A fundamental part of this is respecting each person’s differences and striving to meet their needs.

We are proud to be a one of Glassdoor’s top employers to work for in the UK, as well as being recognised as a Top Inclusive Company in the UK.

Our values: Progress, Respect, Integrity, Drive, Excellence.

About the division
Moata, a digital solution platform at Mott MacDonald, boasts a world-class data science team whose mission is to deliver value-driven AI solutions for construction and infrastructure industry. We work with industry-leading asset owners and operators, spanning transport, water and energy, local and central Government. Our solutions deliver social outcomes. We forecast flood risks to help city councils to proactively allocate resources and respond effectively to potential flooding. We analyse a diverse range of geospatial data to comprehend the complex variables involved in making informed decisions during infrastructure projects. These are only a glimpse of what can be possible in leveraging the power of data through machine learning and AI effectively and responsibly to bring transformational social change in what we do.

About the team

Moata data science team is an integral part of our innovative product development at Moata within the Group Digital Team. We are a dynamic and fast-growing group of professionals dedicated to building production-ready machine learning and AI applications. Our aim is to create solutions that enhance our Moata products and thus bring a lasting impact on society as a whole. Despite being part of a large corporation with 18,000 employees, our data science team at Moata maintains a startup vibe and embraces agility. We adopt a flexible approach, enabling us to innovate with numerous proof of concepts (POCs) and effectively transition validated POCs into production.

About the role

As a Senior Data Engineer, you will play a pivotal role in designing, developing, and maintaining scalable and efficient data pipelines, while also ensuring DataOps practices across all data science/AI solutions we deploy.

What you will contribute to the team:

• Designing and implementing robust, scalable data pipelines in Data Platforms
• Ensuring DataOps practices to enhance data observability, monitoring, incident response, and compliance to data-driven solutions
• Work closely with data scientists and machine learning engineers to ensure business requirements translated into robust, scalable technical solutions
• Driving best practices within the team and across cross-functional teams
• Bring expertise and leadership in data infrastructure to ensure data quality, consistency, and reliability
• Staying up to date with emerging technologies and industry best practices related to data engineering and proactively experiment and apply them to enhance our data processing capabilities

About you

Essential criteria:

• 5 + years of experience in cloud-based platforms (Azure is strongly preferred)
• Solid understanding of data modelling including conceptual, logical, and physical stages, and working with stakeholders to develop and refine these models
• Experience with databases for various types of data (i.e. relational, NoSQL, columnar, graph database, etc)
• Experience with Dockers and Kubernetes
• Proficient in Python and SQL and other relevant languages
• Experience with version control systems such as Git, and CI/CD process
• Experience working with data scientists or machine learning engineers to deploy ML/AI solutions in production environments
• Solid communication skills – in person, in code, and code-review, and in writing; to technical and non-technical audiences

Desirable criteria:

• Experience with integrating ML models into existing software system or applications
• Experience with data pipeline frameworks such as Dagster, Apache Airflow, etc
• Experience with API development

Equality, diversity, and inclusion

We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute.

Accessibility

We want you to perform your best at every stage in the recruitment process. If you are disabled or need any support to enable you to apply or attend an interview, please contact us at reasonable.adjustments@mottmac.com and we will talk to you about how we can support you.

Agile working

Happy to talk Flexible Working and how we can support your responsibilities beyond the workplace.

We offer some fantastic benefits including:

Health and wellbeing

• Private medical insurance for all UK colleagues.
• Health cash plan to support you with every day health costs and treatments.
• Access to Peppy, providing free support from menopause experts for all UK colleagues.
• A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family.
• Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too.

Financial wellbeing

• We match employee pension contributions between 4.5% and 7%.
• Life assurance equal up to 4 x your basic salary, with an option to increase the level of cover to 6 x your salary.
• Our income protection scheme provides a financial benefit, as well as absence and return to work support due to long-term illness or injury.
• Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing.
• As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes.

Lifestyle

• A minimum of 33-35 days holiday each year, inclusive of public holidays and dependent on level, with the ability to buy or sell leave through our flexible benefits programme.
• Holiday entitlement increased to a minimum of 35 days after 5 years’ service.
• Variety of employee saving schemes and discounts from high-street retailers.

Enhanced family and carers leave

• Enhanced family leave policies, including 26 weeks paid maternity and adoption leave, and two weeks paid paternity/partner leave.
• Our shared parental leave matches maternity leave meaning we pay up to 24 weeks at full pay.
• Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid.

Learning and development

• Primary annual professional institution subscription.
• A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self-development options.

Networks, communities, and social outcomes

• Join a wide range of groups including our Advanced Employee Networks which support our LGBTQ+, gender, race and ethnicity, disability, and parents/carers communities.
• Make a difference within our communities through our social outcomes.

Apply now, or for more information about our application process, click here.