software engineer

Kainos

<div>
 Join Kainos and Shape the Future
 
 
 At Kainos, we&rsquo;re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we&rsquo;re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.
 
 
 We believe in a
 
 people-first culture
 
 , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you&rsquo;ll be part of a diverse, ambitious team that celebrates creativity and collaboration.
 
 
 Ready to make your mark?
 
 Join us and be part of something bigger.
 
 
 
 As a Lead Data Engineer (Consultant) at Kainos you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Lead Data Engineers provide strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs.
 
 
 
 Your Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Taking responsibility for the development of whole components or subsystems within a team. Development incorporates design, code, test and defect resolution.
 </li>
 <li>
 Focusing on hands-on design and development, using open source and commercial platforms.
 </li>
 <li>
 Defining and enforcing development best practice and coaching team members to ensure consistency.
 </li>
 <li>
 Working with project architects, taking responsibility for non-functional needs of ETL/ELT data processing pipelines such as robustness and performance.
 </li>
 <li>
 Taking responsibility for standards and execution of unit and integration testing done within the team.
 </li>
 <li>
 Taking responsibility for software product due diligence and integration.
 </li>
 <li>
 Leading troubleshooting and tuning of activities.
 </li>
 <li>
 Working with Operations teams to ensure the application software is operationally ready.
 </li>
 <li>
 Working with Security Architects and accreditors to ensure compliance with relevant legal and security requirements
 </li>
 <li>
 Advising customers and managers and other team members of the estimated effort and technical implications of user stories and user journeys.
 </li>
 <li>
 Contributing to technical proposals as part of the sales process.
 </li>
 <li>
 Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You&rsquo;ll also provide direction for your team as you solve problems together
 
 
 </li>
 </ul>
 
 Minimum (essential) Requirements
 
 
 
 <ul>
 <li>
 Experience of leading a team of engineers in the implementation of data-intensive system components
 </li>
 <li>
 Experience of applying standards for design (patterns), development, (style guides) and operational readiness (automation, deployment)
 </li>
 <li>
 Proficient software development experience in one of Java, Scala, or Python
 </li>
 <li>
 Software development experience with data-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools
 </li>
 <li>
 Expert in SQL or SQL extensions for analytical use case
 </li>
 <li>
 Expert understanding of distributed data stores and data processing frameworks
 </li>
 <li>
 Ability to simply and clearly communicate technical design both written and verbally
 </li>
 <li>
 Proficient in designing analytical and operational data models
 </li>
 <li>
 A keen interest in AI technologies
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Comfortable with Data Warehouse methods and techniques
 </li>
 <li>
 Actively shares their thoughts and views on data practices
 </li>
 <li>
 AWS/Azure/GCP Certified in Data Services
 </li>
 <li>
 Expertise in continuous improvement and sharing input on data best practice
 </li>
 <li>
 Participation in development and/or technology communities
 </li>
 <li>
 Practical experience with AI technologies, tools, processes and delivery
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 Our vision is to enable outstanding people to create digital solutions that have a positive impact on people&rsquo;s lives. Our values aren't abstract; they are the behaviours we expect from each other every day, and underpin everything that we do. We expect everyone to display our values by being
 
 determined
 
 in how obstacles are overcome;
 
 honest
 
 when dealing with others;
 
 respectful
 
 of how you treat others;
 
 creative
 
 to find solutions to complex problems and
 
 cooperative
 
 by sharing information, knowledge and experience.
 
 
 These values, applied collectively, help to produce an outstanding Kainos person, team and culture.
 
 
 
 About Us
 
 
 
 Kainos is a high-growth IT services company providing digital technology solutions and agile software development to enterprise customers. Across our 30-year history, we have worked on transformational projects across government, NHS and a myriad of private sector clients.
 
 
 
 Embracing our differences
 
 
 
 At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive.   We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are.   We also believe every candidate deserves a level playing field.
 
 
 Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.
 
 
 We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
</div>

Lead Data Engineer

bet365

<div>Company Description 
We&rsquo;re one of the world&rsquo;s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.
We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we&rsquo;re breaking new ground in software innovation too, redefining what&rsquo;s possible for our global worldwide.
Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. 
Job Description 
As a Data Scientist, you will develop probabilistic models that power real-time betting markets.
The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.
In this role, you will work with extensive datasets to develop models that determine odds and power in-play betting decisions. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.
This role is eligible for inclusion in the Company's hybrid working policy. 
Qualifications 
<ul><li>
Bachelor&rsquo;s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.</li><li>
Keen interest in a wide range of sports and/or the online gambling industry.</li><li>
Demonstrable experience building predictive models from data.</li><li>
Expertise in statistical analysis and probability theory applied to real-world problems.</li><li>
Strong Python/R skills with experience in ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.</li><li>
Ability to optimise models for both accuracy and computational efficiency.</li><li>
Experience handling and analysing large datasets.</li><li>
Familiarity with cloud computing environments.</li></ul> 

Additional Information 
<ul><li>
Conducting in-depth analysis of large datasets to extract insights and inform decision-making in sports betting.</li><li>
Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms for sports betting.</li><li>
Devising innovative solutions for unstructured problems.</li><li>
Assessing existing models and algorithms to identify areas for improvement.</li><li>
Identifying and resolving data quality issues or bugs affecting models or analysis.</li><li>
Performing rigorous statistical validation of models against historical and live data.</li><li>
Collaborating with trading teams to incorporate domain expertise into mathematical models.</li><li>
Optimising model performance for both accuracy and computational efficiency.</li><li>
Researching novel approaches from academic literature and industry developments.</li><li>
Identifying and defining new opportunities for data-driven insights.</li></ul><div></div>
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.</div>

Data Scientist, Sports

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Lead Data Engineer

Data Scientist, Sports