data engineer gcp

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>
 
 
 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>
 
 
 
 
 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

<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>

We are offering an exciting opportunity for a highly competent professional to work as a Clinical Research Nurse/ AHP/Clinical Trial Coordinator.
 
You will contribute to the successful conduct of the expanding research portfolio at North Tees and Hartlepool NHS Foundation Trust.
 
You should be highly motivated and have excellent written and verbal communication skills.
 
The post holder will, at all times, maintain high standards of practice in accordance with the Research Governance Framework and work within ICH Good Clinical Practice Guidelines for research.
 
As a Clinical Research Nurse/ AHP/Clinical Trials Coordinator , the post holder will also continue to retain clinical skills and credibility by maintaining their practice as per governing body ensuring that professional standards of practice and behavior are upheld and sufficient practice is undertaken in order to revalidate if required.
 
As part of the UHT Research, the post holders will collaborate and support research teams from South Tees. The ability to travel is essential for this role.
 
The post is 12 month fixed term, secondments will be considered.
 
The post holder will be working across specialties but experience in ED, Stroke, Trauma & Orthopaedics would be useful. Support will be given to other NIHR research studies from expressions of interest through to archiving.
 
Liaise with clinical teams and support services to ensure the smooth set-up and delivery of research studies
 
Provide support for patients considering studies and those who participate.
 
Ensure financial oversight of the portfolio
 
At North Tees & Hartlepool NHS Foundation Trust our main priority is, and always will be, to provide safe and high quality care to our patients every day; the kind of care we would want for ourselves and our loved ones. We want our organisation to be the best place to work with the right staff, in the right roles, at the right time, to ensure we deliver exceptional patient care and experience.
 
We will support staff through providing an inclusive and supportive workplace with health and well-being initiatives, staff benefits and opportunities for personal and professional development. Staff recognition is very important to us; as well as performance reviews and appraisals, we recognise staff through Star and Team of the month, colleague recognition a note of thanks, Managers Awards, Shining Stars and Service Awards.
 
We recruit for values and Together we are North Tees & Hartlepool
 
The post-holder will learn to manage and co-ordinate research studies with support from senior colleagues.
 
Providing effective, caring and compassionate services to patients participating in clinical research studies.
 
Complete procedures and investigations according to study protocol, Trust and local policies. Procedures include identifying potential participants for recruitment, providing information to explain the study, monitoring participants’ progress, and collecting and collating patient data.
 
Work collaboratively with the wider multi-disciplinary team in the co-ordination of clinical studies and ensure that local, national and international research regulations are adhered to with an express commitment to abide by the NHS values and the Constitution.
 
Please also see the full job description and person specification document(s) attached for main responsibilities of the role.

Clinical Research Nurse/AHP/Clinical Trials Co-ordinator

Ashley Care

Trusted AssessorSalary: &pound;13.50 per hourMilage: 45p per mile (must have your own car for this role)Areas: This role covers Southend. You will be mainly based in the Southend Office.Join our team and make a difference to people's lives! Caring isn't just a job, it's an opportunity to support people in their own homes, offer companionship, promote independence, build relationships, and brighten their day.Benefits:<ul><li>Fully paid training: Receive all the training you need to succeed as a Care Assistant, including in-house training delivered by our Head of Learning and Development, followed by shadow shifts, and continued mentoring and professional development.</li><li>Flexible working hours: We have both part time and full time roles available, and offer daytime, evening and weekend shifts to help you choose a schedule that works for you.</li><li>Paid mileage: 45p per mile for your travel between calls.</li><li>Weekly payroll: you will be paid each week for the care you deliver.</li><li>Paid DBS check and uniform: Your background check and uniform is fully covered by Ashley Care, allowing a smooth onboarding process.</li><li>Early pay app: access 35% of your wages as soon as you complete a shift.</li><li>Career progression opportunities: We offer a career progression pathway and free NVQ enrolment so you can develop your skills and advance within the company.</li><li>Team events and activities: Participate in team activities to strengthen bonds with colleagues, including office bake sales, charity fundraisers and skydives, and annual Christmas party.</li><li>Recognition programmes: We celebrate your amazing work and dedication with unsung hero of the month awards, incentives and competitions.</li><li>Refer a friend bonus: Earn &pound;150 each time you successfully refer someone for a role at Ashley Care.</li><li>Supportive management team: We ensure you feel supported at work and receive regular mentoring and supervisions.</li></ul>About the role:Ashley Care are looking for an experienced, passionate and knowledgeable Trusted Assessor to carry out new client assessments, help to create person centred care plans, and carry out subsequent care plan reviews for our new and existing service users.As a trusted assessor, you will be responsible for assessing our service users' health and social care needs, including risk assessments, and agreeing outcome focused care plans alongside them and their family members. You will need to be a great communicator, and able to respond to any changes of care, informing our team members and service users to ensure a smooth delivery of service.Level 3 NVQ in Health and Social Care is desired, as well as up to date knowledge of care plan delivery, risk assessments, and safeguarding policies. You will work closely with our coordinators, and will develop relationships with other external community parties including occupation therapists and district nurses.Key Skills:<ul><li>Hold or be working towards QCF level 3</li><li>Substantial experience of working within a care environment</li><li>Computer literate and a good eye for detail to ensure customer records are accurate and up to date</li><li>Proactive &ndash; be able to forge relationships with health and community practitioners as well as finding referrals</li><li>Networking and forging relationships to gain a full understanding of the Community and what offerings are available</li><li>Experience with dealing with sensitive data and understanding of Information Governance</li><li>Ability to interpret community care assessments into Service User plans</li><li>Demonstrable knowledge of the CQC and legal requirements for community-based services, specifically for Domiciliary services</li><li>Strong ICT skills with demonstrable experiencing of working with care planning systems and care assessment tools</li><li>Ability to undertake role-based risk assessments and all associated paperwork which reduces/mitigates risk</li></ul>Ashley Care has led from the front in the care sector since 1987, and in homecare specifically since 2003. We are a family-run company with a strong family ethos. We offer flexible working hours to fit around our staff and their families. Unlike many home care providers, we operate a weekly payroll, so you are renumerated quicker for the work you do. Delivering care throughout the Southend Borough allows us to create small, focused areas of care needs, meaning less travel time and greater efficiency for staff working out in the community. Whether you are new to social care or an experienced professional, we have training programmes to support your ongoing professional development.Take a look at our Facebook page for frequent updates on what our brilliant care team are getting up to! We make it a priority to ensure our staff feel supported and trusted, and often reward them for the amazing work they do in our community.What we're looking for:<ul><li>Level 3 NVQ in Health and Social Care desired but not essential</li><li>Driving license: You must have a UK driving license and your own car with business insurance.</li><li>Flexibility: You should be comfortable to work a mixture of daytimes, evenings, and alternate weekends.</li><li>Kindness and compassion: A caring and supportive individual who is passionate about providing a high-level care and support to vulnerable people.</li><li>Communication skills: You must be able to build positive working relationships with colleagues and customers.</li></ul>Our ICARE values:At Ashley Care we hold our own &ldquo;I CARE&rdquo; values. We are committed to values based recruitment, and ensure that all members of our team share our workplace values.Inclusive - We are committed to providing an inclusive service for those we care for and those in our team. We understand and respect that people have different needs. We celebrate diversity and tackle discrimination to create a safe and inclusive environment, which supports human rights, equality, and empowerment.Collaboration - We are committed to quality kind and compassionate care and give those we care for our full attention and support. We value collaboration and working as a team. We display empathy to those we care for and others on our team and use self-awareness to recognise the impact of our behaviours. Identifies problems at the earliest opportunity and thinks creatively in order to solve them.Accountability - By listening, respecting, and communicating effectively, we are able to build two-way relationships with those we work with and care for that are based on trust. We do the right thing and act with credibility, accountability, and professionalism. Takes responsibility for own performance, identifying areas to improve and actively seeks out ways to develop these.Respect - We act with compassion, honesty, and respect people&rsquo;s right to choose how they would like to live and be cared for. We treat people with respect and dignity regardless of their culture, religion, race, age, or disability. We recognise and appreciate the contribution of our team and communicate with those we care for in a polite, clear, and open way.Effective - Effectively manages customer expectations and responds to their needs in a timely and caring manner. We are committed to delivering high-quality care which means continuously learning and improving our service. We gather and share feedback to identify ways we can improve to better meet the needs of our team and service users. We support and mentor others to enable them to learn new skills. We are willing to embrace new ways of working and new technology, to improve our services and add value to the care we provide.Ready to make a difference?Call our recruitment team to find out more!01702 343789This role requires you to engage in regulated activity with adults and therefore an enhanced criminal record check will be requested from the DBS upon conditional job offer.This role requires you to work in Regulated Activity. It is a criminal offence for people who are barred from working in Regulated Activity (under the Safeguarding and Vulnerable Groups Act 2006) to apply for roles that require them to work unsupervised with that particular group (i.e. adults at risk, children or both).Our organisation is committed to safe and fair recruitment, safeguarding and protecting those we care for and serve. We make sure all our staff are vetted, selected, trained, and supervised fairly and to a high standard so that they can provide safe, effective, and compassionate care.Job Type: Full-timePay: &pound;13.50 per hourBenefits:<ul><li>Company pension</li><li>Employee discount</li><li>Free parking</li><li>On-site parking</li><li>Referral programme</li><li>Sick pay</li></ul>Experience:<ul><li>Care: 2 years (preferred)</li></ul>Licence/Certification:<ul><li>Driving Licence (required)</li><li>Level 3 NVQ in Health and Social Care (preferred)</li></ul>Work Location: In person

Trusted Assessor

Explore 5+ Data engineer gcp in Lee On The Solent this July. Find roles across top companies and apply now to boost your career.

5 data engineer gcp jobs In Lee On The Solent

Lead Data Engineer

Data Scientist, Sports

Data Scientist, Sports

Clinical Research Nurse/AHP/Clinical Trials Co-ordinator

Trusted Assessor