Senior Data Engineer

Role: Data Engineering Manager

Salary: up to £90,000 DOE

Location: London, Hybrid 3 days a week onsite

Ready to utilize your engineering management experience? Are you passionate about building scalable data infrastructure?

Join us as a Data Engineering Manager!

They are a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.

• Be part of an exciting team where you will be challenged every day.
• Work closely with the range of teams within the business to bring products to life.
• Work with customers and identify opportunities to support their strategy and improve their processes across functions.

The Role:

As a Data Engineering Manager, your role will have a significant impact on our retail industry operations. By leveraging cutting-edge technologies such as Azure, DBT and Snowflake, you will drive innovations that support large-scale analytics, optimize business processes, and deliver actionable insights. Your leadership will be pivotal in shaping our data strategy and ensuring we remain at the forefront of technological advancements in the industry.

Key responsibilities:

• Team Leadership and Development: Lead and mentor a team of data engineers, fostering a collaborative culture and driving excellence in data engineering practices.
• Stakeholder Management: Manage relationships with key stakeholders, understanding their data needs and ensuring that data engineering solutions align with business objectives and deliver value
• Technical Leadership: Provide technical leadership in data engineering, driving best practices and innovative solutions to solve complex data challenges and enhance overall data infrastructure
• Data vault Model implementation: Implement flexible Data vault model in Snowflake to support large-scale analytics and business intelligence.
• Project Management: Oversee data engineering projects from inception to completion, including defining scope, managing timelines, and ensuring successful delivery within budget.
• ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality.
• Cloud Infrastructure and Data Integration: Lead the implementation of data solutions on cloud platforms such as Azure, AWS, and Snowflake, integrating diverse data sources into unified systems.
• Data Governance and Compliance: Implement data governance practices, including data quality management, metadata management, and adherence to regulatory requirements.
• Performance Optimisation: Monitor and optimize data processing workflows, ensuring efficient data operations and high performance.
• Collaboration and Communication: Work closely with Product Managers, analysts, and business stakeholders to deliver data solutions that align with business objectives and support strategic goals.
• Drive the adoption of best engineering development practices across enterprise products and promote the creation of application and technical design documents that align with Salesforce best practices and seamless integrations.
• Provide thought leadership for Salesforce best practices and design patterns, and proactively find opportunities for improvement across the platform

Stay ahead of Salesforce and other ecosystem technologies and how their features map to business use cases; promote a culture of knowledge. Advise and mentor diverse teams and product groups on resources in technical and functional delivery aspects at a program level, using influence and adaptive communication strategies

Key skills/knowledge/experience:

Advanced Data Engineering Skills: Proficiency in designing and managing ETL processes using DBT, Python, Terraform and Airflow

Expertise in Cloud Platforms: In-depth knowledge of Snowflake and Azure with experience in leveraging these platforms for scalable data solutions.

Data Architecture and Modelling: Strong background in implementing data architectures, including data warehousing solutions and Data vault modelling.

GitHub Skills and Experience: Proficiency in using GitHub for version control, code collaboration and managing data engineering projects

Agile Project Management and Leadership: Proven experience in managing data engineering projects, leading teams, and delivering results on time and within budget.

Data Governance and Compliance: Expertise in implementing data governance frameworks in Alation, including data quality management and compliance with industry regulations.

Strong Analytical and Problem-Solving Skills: Ability to analyse complex data requirements and troubleshoot issues to devise innovative solutions.

Effective Communication and Collaboration: Excellent communication skills for interacting with stakeholders, presenting technical concepts, and collaborating with cross-functional teams

Desirable:

• Knowledge of Data Visualization Tools: Experience with tools such as MicroStrategy / Power BI
• Terraform: Experience with Terraform and Terragrunt for infrastructure as code
• GenAI: Experience with Generative AI technologies.

Rewards & Benefits

They are consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger network.

Diversity, Inclusion and Wellbeing

They are committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998.

We believe in building and sustaining a culture of equity and belonging where everyone can thrive. Our diversity and inclusion motto is ‘Inclusion without Exception’. Our continued commitment to Culture and Diversity is reflected across our workforce implemented through equitable workplace policies and processes.

You’ll find a welcoming culture and many internal volunteering and social networks to join (these are optional). Our diversity, inclusion and social activities include 12 employee networks such as gender diversity, LGBTQIA+ & Allies, mental health, disability & neurodiversity inclusion and many more, as well as health & wellness initiatives and sports events and we sponsor the London Marathon.

We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role.