11 Oct
In Technology Group
London
Title: Senior Data Analytics Engineer
Location: London (3 days a week onsite in Central district)
Salary: Up to £80,000 DOE
Are you ready to utilise your skills in data analysis and drive meaningful insights for one of the UK’s leading retail companies? Do you have knowledge of SQL, DBT, Snowflake and data modeling?
Join us as a Data Analytics Engineer
The client is 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.
- Work with customers and identify opportunities to support their strategy and improve their processes across functions.
- Grow your career, while being exposed to new technologies.
- Collaborate with some of the leading lights of the industry.
The Role:
As an Analytics Engineer, you will be responsible for designing and implementing data products that facilitate data-driven decisions across the business. You will bridge the gap between data engineering and business analysis by transforming raw data into actionable insights. This is a unique opportunity to work on complex data models, build high-performance data pipelines, and collaborate with a wide range of teams, all while working with cutting-edge cloud platforms and data technologies. In this role you will collaborate with cross-functional teams to transform retail analytics.
Key responsibilities:
- ETL Pipeline Development: Develop, optimise, and maintain ETL pipelines to efficiently extract, transform,
and load data from various sources, ensuring high data quality.
- Data Modelling & Pipeline Design: Design, develop, and maintain robust data models and pipelines to deliver high-quality data products that meet business needs.
- Query Optimization & Data Transformation: Write and optimize SQL queries, ensuring data integrity, performance and scalability, using best practices and techniques.
- Data vault Model implementation: Implement flexible Data vault model in Snowflake to support large-scale analytics and business intelligence.
- Cross-Team Collaboration: Collaborate with Data Engineers, Product Managers, and Data Scientists to deliver solutions that support data-driven insights and innovation.
- Stakeholder Engagement:
Engage with business stakeholders to understand requirements and translate them into technical solutions that add value.
- Data Quality & Governance: Implement and enforce data governance and quality processes, ensuring accurate and consistent data flows across all systems.
- Cloud & Infrastructure Support: Work with cloud platforms such as AWS/Azure and DBT with Snowflake to build and maintain scalable data solutions.
- Continuous Improvement: Proactively look for ways to improve data systems, processes, and tools, ensuring efficiency and scalability.
Your Profile:
Key skills/knowledge/experience:
ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, Terraform and Airflow.
Data Modeling Experience:
Strong experience designing and implementing data models (Data Vault or fact and dimensional) for analytics and reporting purposes.Cloud Platforms: Experience working with cloud data warehouses and analytics platforms, such as Snowflake, AWS, Azure, and Databricks.
GitHub Skills and Experience: Proficiency in using GitHub for version control, code collaboration and managing data engineering projects.
Data Governance and Compliance: Expertise in implementing data governance frameworks in Alation, including data quality management and compliance with industry regulations.
Effective Communication and Collaboration: Excellent communication skills for interacting with stakeholders, presenting technical concepts, and collaborating with cross-functional teams.
Collaboration & Communication:
Strong interpersonal skills with the ability to work cross-functionally with stakeholders, engineers, and analysts.
SQL Proficiency: Expertise in writing complex SQL queries, query optimization, and database design for analytics.
Problem-Solving & Analytical Thinking: Ability to think critically and solve complex problems, translating business requirements into actionable insights.
Good to have:
- 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 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 & 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.
Due to a high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.
▶️ Senior Data Engineer
🖊️ In Technology Group
📍 London