Data Engineer (Pricing & Underwriting)- UK new

Prima Seguros
London
1 week ago
Create job alert

NameProviderPurposeMaximum Storage DurationType__cflbapi2.hcaptcha.comRegisters which server-cluster is serving the visitor. This is used in context with load balancing, in order to optimize user experience. 1 dayHTTP CookieNameProviderPurposeMaximum Storage DurationTypelidcRegisters which server-cluster is serving the visitor. This is used in context with load balancing, in order to optimize user experience. 1 dayHTTP CookieNameProviderPurposeMaximum Storage DurationTypeNameProviderPurposeMaximum Storage DurationType London - United KingdomData Engineer (Pricing & Underwriting)- UKIT technology lies at the very core of everything we do and our Engineering and Product departments are composed of passionate and innovative people who never stop learning and developing their skills employing the latest stacks and methodologies. At Prima, you could take on a whole new challenge. As part of our global community, you’d be in the driving seat of your career; learning and growing with a top-tier team around you. Prima is a place where no matter who you are or what your role is — your voice is valued. Back in 2015, we embarked on a mission: to provide great value car insurance that is designed for everyone. And we’ve come a long way, we’ve created a culture where we can fuel each other’s success. But we need your expertise, as we steer things in a new and exciting direction. You’re probably thinking… ‘That sounds pretty good’. We agree. As well as great colleagues and engaging projects, there are loads of ways we can help you do the best work of your life. We’ve shaped our offering to place a focus on wellbeing, autonomy and development. We see benefits as the fuel that will empower you to succeed, if you decide to embark on this journey with us. ** Working in a way that works for you** We believe in work-life balance and flexibility. Whether you like working from the office, home or a mixture of both. We’ll help you find a balance that works best for you. We even have a policy that means you can work from any location for 30 days a year. We trust you to steer us forward. ** The freedom to explore the possibilities** We may move fast at Prima, but we move together. We’re invested in your growth; so we’ll give you access to a teaching and learning marketplace. And you’ll have regular sessions with your manager to establish a personal growth plan. ** Our winning formula: happy and high-performing** From private medical insurance to discounted gym memberships and wellbeing initiatives: we’re here to support you. We know how important your health and well-being is, so we’ll go the extra mile to help you when we can. You’ll be joining our pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. With a focus on data challenges, you’ll be joining forces with data scientists and machine learning engineers to craft technical solutions tailored to real-world business opportunities, drive transformative solutions, and play a pivotal role in shaping the future with us. You will have the opportunity to work in areas like Data Architecture, Feature Engineering, Optimisation and Data Governance applying your Data Engineering industry expertise and proficiencies to tailor them to Prima's specific scenarios and innovating when faced with gaps in existing knowledge. As a Data Engineer, you will be in charge of: - Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources.- Leading the way in data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable.- Build reusable technology that enables teams to ingest, store, transform, and serve their own data products.- Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure.- Embrace continuous learning and experimentation to stay updated on emerging technologies, from testing open source tools to engaging in community-building activities like Meetups. Your passion for staying at the forefront of the field will drive your journey.Requirements: - Expert in batch, distributed data processing and near real-time streaming data pipelines with technologies like Kafka, Flink, Spark etc. Experience in Databricks is a plus.- Experience in Data Lake / Big Data Analytics platform implementation with cloud based solution; AWS preferred.- Proficient in Python programming and software engineering best practices.- Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases.- Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices.Nice to have:- Hands-on experience in Data Quality and Data Governance techniques.- Knowledge on MLOps and Feature engineering.- Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM.- Exposure to tools like Apache Oozie, Apache Airflow.Prima is a community made up of talented and ambitious individuals. We offer equal employment of any kind based on race, colour, gender, religion, sexual orientation, nationality, disability, genetic information, pregnancy or other protected personal characteristics, as defined by national laws. If it sounds like we’d be a good fit for each other, join us in the fast lane!#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer - UK Perm - London Hrbrid

Data Engineer, DE55

Data Engineer - Databricks - £60,000

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.