Senior Analytics Engineer at Simply Business designing data models and building infrastructure for AI and ML enhancement. Collaborating with engineering and product teams to integrate new data sources.
Responsibilities
Design and build authoritative data models in our warehouse, ensuring every asset is robust, scalable, and fully AI/ML ready
Integrate diverse new data sources to enrich our analytical capabilities and provide the complex datasets required for advanced machine learning
Collaborate across engineering and product teams to ensure application designs support sophisticated reporting and real-time AI features
Manage and optimise ELT pipelines that serve as the single source of truth for our Finance, Operations, and Marketing teams
Champion technical standards by mentoring junior engineers and driving best practices in data governance and quality assurance
Pioneer feature engineering pipelines that allow us to challenge the status quo and deliver refreshing, data-led solutions to our customers
Requirements
3+ years of experience in analytics or data engineering, specifically modeling and transforming data using tools like dbt
Technically proficient in cloud environments, with hands-on experience using Snowflake or Databricks to manage large-scale data assets
Experienced in building ML features, with a passion for creating the infrastructure that makes artificial intelligence possible
Adaptable and curious, ideally bringing familiarity with various programming languages and an interest in evaluating new tools to drive AI adoption
A proactive problem solver who might have experience with real-time streaming (like Apache Flink) or a background in the insurance domain
A relatable communicator who can translate complex technical architecture into plain English for stakeholders across the business
Benefits
a great work-life balance where workloads are manageable and everyone has the flexibility to work hybrid
25 days annual leave (plus bank holidays)
the option to buy five more days of holiday with your flexible benefits
flexible parental leave allows you to approach an important time how you want - with six months full pay to the primary caregiver and four weeks full pay if you're the secondary caregiver
life event leave is an extra days leave every two years for those big moments in your life like moving house or your birthday
long-serving employees get a two week paid sabbatical after five years of service, then four weeks off after ten years of service
private medical insurance through BUPA, that covers any pre-existing condition is a core benefit
a health cash plan that covers your everyday medical expenses
a competitive salary based on your experience and the current market
potential to earn an annual bonus based on performance
access to tools to support your personal development on our dedicated learning platform
support for your mental health with access to counselling
we match what you put into your pension up to five per cent
pass on a tax-free sum that's four times your basic salary with our life assurance policy, with the option to increase it to ten times through our flexible benefit scheme
our salary sacrifice car scheme gives you the option to buy a brand new, fully insured, and maintained car for a convenient fixed monthly amount taken from your gross salary (after 6 months service)
our flexible benefits scheme gives you an allocated amount to use each year on benefits like critical illness cover, dental insurance, travel insurance, or a gym membership
Data Analytics Engineer focused on building ETL pipelines and data models at Prodigy Finance. Working with AWS Redshift, Python, and SQL in a hybrid team.
Data Analytics Engineer driving innovative data solutions at Northern Trust. Collaborating on architecture, client satisfaction, and technology transformations with a global team in a hybrid role.
Analytics Engineer transforming raw data into actionable insights to support decision - making in data marketing. Working with various data technologies in a hybrid internship role in Paris.
Senior Analytics Engineer developing data pipelines and analytics capabilities for a data - driven analytics company. Collaborating with stakeholders to build trustworthy datasets for impactful decision - making.
Analytics Engineer driving the architecture and scalability of data models and pipelines at Preply. Collaborating across teams to empower data - driven decision - making in education tech.
Analytics Engineer for Customer Product Analytics team at Just Eat Takeaway.com. Enhancing user experience by delivering data - driven insights and optimizing product experience in a hybrid role.
Analytics Engineer transforming raw data into organized datasets. Collaborating with business teams to ensure data quality and governance in Azure environment.
Data Engineer creating scalable data pipelines for Capgemini's analytics solutions using modern ETL tools. Involves data storage and management using platforms like Snowflake and Redshift.
Analytics Engineer blending data analysis, business intelligence, and data engineering for a healthcare software company. Creating dashboards and data models to empower decision - making and improve healthcare outcomes.
Lead Web Analytics Developer architecture and implementation of web analytics tools at Hostinger. Collaborate with teams to enhance user experience and improve conversion rates.