
About the Role: We’re looking for friendly and confident people to join our team as Local Sales Representatives. Your job will be to visit local businesses (restaurants, barbershops, beauty salons, etc.) and introduce them to our AI Receptionist — an intelligent phone assistant that answers calls, books appointments, and saves owners time and lost revenue. No technical background is needed — full training and demo materials will be provided. Responsibilities: • Visit local businesses in your area (face-to-face sales)., • Present and demonstrate how our AI receptionist works., • Collect business details (contact info, WhatsApp, booking system)., • Explain benefits and pricing., • Close deals and report results in a simple tracking sheet. Requirements: • Confident English communication skills., • Friendly and professional attitude., • Self-motivated and goal-oriented., • No previous experience required — full guidance will be provided., • Must be able to visit businesses in person. What We Offer: • Commission-based pay — earn £200–£300 per sale., • Average monthly earnings: £900–£2,000+ depending on performance., • Full training, scripts, and sales materials provided., • Flexible hours — work whenever you want., • Work in your own area (Weston-super-Mare, Bridgwater, Burnham-on-Sea, Bristol, etc.). Why Join Us: You’ll be helping local businesses modernise and save time with automation. This is a great opportunity to grow in sales, technology, and entrepreneurship while earning great money on your own schedule. How to Apply: Just apply here with a short note about yourself and your city. We’ll contact you to schedule a short call and start training within 24 hours.

Job Overview We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, constructing, and maintaining scalable data pipelines and architectures. You will work closely with data scientists and analysts to ensure the efficient flow of data across various platforms and systems, enabling insightful analysis and decision-making. We are looking for a Data Engineer to join our growing Data and Analytics team. This is ideal for someone with a solid foundation in data engineering who wants to develop deeper skills in Azure Databricks and Microsoft Fabric. You will play a key role in developing and maintaining modern data pipelines, shaping the meta data driver architecture, and building high-quality data models that power reporting and advanced analytics across the business. Duties • Develop and maintain robust data pipelines using technologies such as AWS, Hadoop, and Spark., • Design and implement database solutions for both structured and unstructured data using Oracle and Microsoft SQL Server., • Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications., • Perform data modelling and database design to optimise performance and scalability., • Conduct data analysis to identify trends, patterns, and anomalies in large datasets., • Utilise programming languages such as Python and Java for data manipulation and transformation tasks., • Implement ETL processes using tools like Informatica to ensure seamless data integration., • Write efficient SQL queries for data retrieval, reporting, and analysis., • Create documentation for data processes, workflows, and system architecture., • Employ shell scripting (Bash) for automation of routine tasks., • Build and maintain scalable data pipelines in Azure Databricks and Microsoft Fabric using PySpark and Python, • Support the meta driven architecture (raw, enriched, curated layers) to ensure a clean separation of raw, refined, and curated data, • Design and implement dimensional models such as star schemas and slowly changing dimensions, • Work closely with analysts, governance, and engineering teams to translate business requirements into data solutions, • Apply data governance and lineage principles to ensure documentation, traceability, and quality, • Proven experience in a Data Engineering role or similar position., • Strong knowledge of big data technologies including Hadoop, Apache Hive, and Spark., • Proficiency in programming languages such as Python, Java, VBA, and shell scripting (Bash)., • Experience with database design principles and management of relational databases (Oracle, Microsoft SQL Server)., • Familiarity with data warehousing concepts and best practices., • Excellent analytical skills with the ability to interpret complex datasets effectively., • Strong problem-solving abilities coupled with attention to detail., • Ability to work collaboratively in a team environment while also being self-motivated. If you are passionate about working with data and have the skills required to thrive in this role, we encourage you to apply. Join us in driving our data initiatives forward!, • Familiarity with Agile delivery principles, • Interest in gaining the Microsoft Fabric Data Engineer certification (supported by the business), • Strong SQL and Python skills with hands-on experience in PySpark, • Exposure to Azure Databricks, Microsoft Fabric, or similar cloud data platforms, • Understanding of Delta Lake, Git, and CI/CD workflows, • Experience with relational data modelling and dimensional modelling, • Awareness of data governance tools such as Purview or Unity Catalog, • Excellent analytical and problem-solving ability with strong attention to detail

🚀 Work Remotely | Flexible Hours | Uncapped Earnings Are you a confident, driven, and heart-led communicator who knows how to close high-ticket offers with ease? Do you thrive in conversations, love helping people step into their power, and want to be part of a growing self-development brand empowering women globally? If yes — keep reading 👇 🧠 About Us I’m Nàdia Dias - Psychologist, Mindset Coach & Founder of Nua Academy. My mission is to help women transform their mindset, heal deeply, and step into their most magnetic, abundant, and confident selves through powerful 1:1 coaching experiences and digital programs. I’m building a dream team to scale this mission to the next level and I’m looking for an experienced closer/setter who’s ready to grow with me. 📝 Role Overview We’re looking for a Closer & Setter (commission-only) to join the team. Initially, you’ll handle both setting and closing qualifying leads, booking calls, and enrolling clients into our 12-week high-ticket coaching program. As we grow, the role can evolve into a full closing position or managing a small team of setters. 🌿 Responsibilities • Engage with warm leads via DM (Instagram, email, etc.), • Qualify leads through meaningful conversations., • Set and conduct enrolment calls confidently., • Follow a proven script while bringing your authentic energy., • Hit weekly/monthly conversion targets., • Provide feedback to help optimize our marketing & lead flow. 💰 Compensation • Commission Only (Generous 15% to 20%) no cap on earnings, • You’ll receive commission for every sale you close, starting with high-ticket offers (£1,997+), • High earning potential: £1,000+/month as lead flow scales 🌟 Ideal Candidate • Previous experience closing high-ticket coaching / service offers (£1,000+), • Excellent communication & emotional intelligence, • Comfortable leading powerful conversations that inspire action, • Self-motivated, organized, and hungry to grow., • Available part-time to start (flexible hours — perfect if you want to grow with a brand), • Female empowerment or self-development niche experience is a bonus 🌸 📈 Why Join Now This is a ground-floor opportunity to grow with a powerful personal brand. You’ll work directly with me, have freedom in your role, and grow as we scale to 6-figure months and beyond. Your voice matters here. Your wins are celebrated. And your income is directly linked to your impact. 📩 How to Apply Include: • A short intro about you, • Your experience with high-ticket sales, • Your average close rate / results, • Why this role excites you and why you should be part of the team. ✨ If you’re ready to help women transform their lives and get paid generously to do so I’d love to hear from you.