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
Are you creative, curious, and ready to kickstart your marketing career? We’re looking for a driven Multi-Channel Marketer Apprentice to join our team and gain hands-on experience across social media, email marketing, paid ads, content creation, and analytics - all while working towards your Level 3 Multi-Channel Marketer qualification. You’ll learn how to plan, deliver, and optimise campaigns across multiple digital channels, helping to grow brand awareness, engagement, and leads. What You’ll Learn and Do As part of your day-to-day role, you’ll: • Support the creation of marketing content across social media, email, web, and paid platforms., • Assist with campaign planning, scheduling, and performance tracking., • Learn to use tools like Canva, Meta Business Suite, Google Analytics, Klaviyo, and Mailchimp., • Write engaging copy tailored to different audiences and channels., • Collaborate with design, content, and sales teams to deliver campaigns that convert., • Monitor analytics and use insights to improve campaign results. Training and Support You’ll be enrolled on the Level 3 Multi-Channel Marketer Apprenticeship, delivered by The Michael Streete Foundation (MSFDN) - combining practical learning with professional training to help you become job-ready in marketing. You’ll benefit from: • 12–18 months of structured learning, led by industry experts., • Access to real campaign projects and mentorship., • Ongoing employability and portfolio-building support. Who We’re Looking For You don’t need marketing experience - just enthusiasm, creativity, and a willingness to learn. Ideal candidates will: • Be confident using digital platforms and social media., • Have strong communication and writing skills., • Be organised, proactive, and ready to take initiative., • Have an interest in branding, content creation, or data-driven marketing., • Be eligible to work in the UK and not already hold a qualification in marketing at the same or higher level. Progression Upon completion, you’ll be a qualified Multi-Channel Marketer - ready to progress into roles such as: • Digital Marketing Executive, • Social Media Manager, • Campaign Coordinator, • Content Creator, • Marketing Analyst
• Collect, clean, and validate large datasets from multiple structured and unstructured sources., • Develop and maintain data pipelines using SQL, Python (Pandas, NumPy), and data integration tools., • Perform statistical analysis and exploratory data analysis (EDA) to identify trends, anomalies, and insights., • Support the design and implementation of predictive models and machine learning algorithms using Python (scikit-learn, TensorFlow, PyTorch) or R., • Create and maintain interactive dashboards and visual reports using Power BI, Tableau, or Qlik., • Collaborate with senior analysts to translate data insights into business recommendations., • Apply data governance and information security best practices throughout all analysis., • Use version control tools (Git/GitHub) and follow agile working methodologies where appropriate., • Contribute to documentation, data cataloguing, and reproducibility of analytical work., • Present findings clearly to non-technical stakeholders through visual storytelling and reports.
Key Job Duties and Experience: The prospective applicant should be able to demonstrate the ability to: • Plan and execute PR strategies that showcase IT consultancy, managed services, and advisory outcomes., • Build and manage relationships with B2B media, analysts, partners and community stakeholders., • Prepare and brief spokespeople; arrange interviews, briefings, and expert commentary on sector topics., • Run LinkedIn-led social communications; monitor brand mentions/sentiment and engage appropriately., • Plan and deliver PR events (launch demos, webinars, conferences, awards/speaking submissions) end-to-end., • Prepare and coach spokespeople; coordinate interviews, media briefings, and commentary on industry topics., • Monitor the market and competitors; identify trends and opportunities to position our services and leadership. Person profile: Excellent written and verbal communication, strong stakeholder management, creativity, and attention to detail. Self-motivated, organised, and able to work independently and as part of a team. Experience collaborating with marketing on campaigns and brand awareness is desirable. 3+ years in PR/communications (agency or in-house), ideally within B2B tech/IT/consulting, is preferred. Working Hours: 37.5 hours per week.
Zayyan Foods is a reliable wholesale distributor of meat, meat products, fruit and vegetable juices, mineral water, and soft drinks. Dedicated to quality and consistency, we supply premium food and beverage products to retailers, restaurants, and businesses. Our priority is fostering long-term partnerships through streamlined supply chain solutions and outstanding customer service. Role Overview We are seeking Business Analysts and Consultant to join our growing team at Zayyan Foods. This role involves facilitating workshops and presenting insights at seminars, conferences, and through media platforms. The consultant provides strategic and operational advice within the organisation, while diagnosing challenges in business strategy, policy, structure, processes, and market positioning. By designing and applying suitable research methods, analysing data, and formulating actionable recommendations, the consultant ensures tailored solutions. Central to the role is also reviewing organisational objectives, functions, and requirements to deliver informed and practical guidance. Key Responsibilities · Facilitates workshops and communicates insights through seminars, conferences, and media platforms. · Advises the on strategic and operational matters · Diagnoses issues in business strategy, policies, structures, processes, and market approach. · Designs and applies appropriate research methods, analyses findings, and develops actionable recommendations. · Reviews organisational objectives, functions, and requirements to provide informed advice. Requirements 2–4 years’ experience in this role A client-focused mindset with a proactive approach. Strong organizational and multitasking abilities. Excellent communication and interpersonal skills.
Summary: Are you passionate about uncovering insights hidden within data? We're looking for a Data Analyst to join our team and play a key role in driving data-driven decisions. You'll be responsible for collecting, processing, and analyzing complex datasets to identify trends, patterns, and opportunities that will help our organization achieve its strategic goals. Your work will directly influence business outcomes by providing actionable intelligence to stakeholders across the company. Responsibilities: Collect data from various sources, including databases, APIs, and other systems. Clean and prepare data for analysis, ensuring accuracy and consistency. Analyze data using statistical methods and tools (e.g., SQL, Excel, Python, R) to identify key trends, patterns, and anomalies. Develop and maintain reports, dashboards, and data visualizations to communicate findings to technical and non-technical audiences. Collaborate with cross-functional teams (e.g., marketing, sales, operations) to understand their data needs and provide analytical support. Identify opportunities to improve data collection, processing, and analysis methodologies. Document data analysis processes and findings to ensure reproducibility and knowledge sharing. Stay up-to-date with the latest trends and technologies in data analysis. Qualifications: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent experience. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL for data extraction and manipulation. Excellent skills in Excel for data analysis and reporting. Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable. Familiarity with programming languages such as Python or R for statistical analysis is a plus. Solid understanding of statistical concepts and methods. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely. Ability to work independently and collaboratively in a fast-paced environment. Job Description: Computer analysts and scientists research, design, develop, and optimize computer systems, algorithms, and software. They analyze computing needs, explore emerging technologies like AI, machine learning, and big data, and develop innovative solutions to complex computing problems. They may also work in theoretical research or applied computer science across various industries. Job Description: Data architects design and manage an organization’s data infrastructure. They create data models, define data standards, and ensure data systems are structured to support business processes, analytics, and decision-making. They establish policies for data integration, storage, and security, often collaborating with engineers and analysts. Data engineers build and maintain data pipelines and architectures that allow organizations to collect, process, and analyze large sets of data. They work on database management, ETL (Extract, Transform, Load) processes, data warehouses, and big data platforms, ensuring data is reliable, accessible, and efficiently processed for analysts and business use. IT systems architects design and implement the overall structure of IT systems within an organization. They ensure systems are scalable, secure, and aligned with business goals. They create technical blueprints, integrate hardware and software components, and evaluate new technologies to optimize IT operations. IT business analysts act as a bridge between business needs and IT solutions. They gather and analyze business requirements, assess existing systems, and recommend IT solutions that improve efficiency and meet organizational objectives. They also support testing, documentation, and change management during system implementations. IT solutions architects and designers focus on creating technical solutions tailored to specific business needs. They design software, applications, or system integrations, ensuring compatibility, scalability, and compliance. Their work involves selecting technologies, defining frameworks, and guiding development teams through solution implementation. This category covers IT specialists whose roles combine aspects of business analysis, architecture, and systems design but don’t fit neatly into standard classifications. They may work on hybrid projects, such as digital transformation, enterprise integration, or custom IT strategy, often requiring a mix of technical, analytical, and business expertise.
Job Description We are seeking a proactive and detail-oriented Information Security Analyst to help safeguard our clients’ digital assets and IT infrastructure. The ideal candidate will be responsible for monitoring security events, responding to incidents, and supporting continuous security risk management, compliance initiatives, and vulnerability assessments. This is a hands-on role for professionals with strong experience in threat detection, SIEM tools, cyber risk analysis, and security best practices. You will work closely with security teams to prevent breaches, enhance cyber resilience, and ensure policy enforcement across the enterprise. Job Responsibilities Monitor, analyse, and respond to security alerts using SIEM platforms (e.g., Splunk, Sentinel) Conduct incident investigations, root cause analyses, and escalate critical threats Support vulnerability scans, patch assessments, and mitigation planning Maintain security policies, procedures, and compliance documentation Assist in security audits, risk assessments, and internal/external reporting Collaborate with IT and compliance teams to strengthen the organization’s security posture Perform regular reviews of access controls, firewall logs, and endpoint security events Stay up-to-date with evolving threats, tools, and security frameworks (e.g., NIST, ISO 27001)
We are seeking a motivated and detail-oriented Data Analyst to join our dynamic, high-performing team. This role is ideal for early-career professionals with 1–2 years of experience or strong academic foundations in data analytics or related fields. You will be responsible for interpreting data, generating insights, and developing data products to drive strategic decision-making. The successful candidate will demonstrate strong technical capabilities, analytical acumen, and the ability to translate complex datasets into actionable business intelligence. Key Responsibilities Extract, clean, and analyse large datasets to uncover meaningful trends and patterns. Design, build, and maintain dashboards and reports using Power BI and Tableau. Collaborate with stakeholders to capture data requirements and deliver insights aligned with business objectives. Automate recurring processes using Excel Macros, VBA, or Bash scripting to improve efficiency. Develop and maintain databases using Microsoft SQL Server and Oracle, ensuring data integrity and accessibility. Support ad hoc analysis and reporting needs across departments. Document workflows, data dictionaries, and procedures to ensure data governance and clarity. Participate in the Software Development Life Cycle (SDLC), contributing to requirements gathering, testing, and implementation. Perform advanced statistical analysis and data manipulation using Python or R (desirable). Contribute to the design and optimisation of database schemas and data pipelines. Required Experience & Skills 1–2 years’ experience in a Data Analyst or similar role, or strong academic background in a quantitative discipline (e.g., Mathematics, Computer Science, Economics). Proficient in SQL for querying, joining, and transforming data. Advanced Excel skills, including pivot tables, lookups, and data wrangling techniques. Proficient with data visualisation tools such as Power BI or Tableau. Excellent analytical and critical thinking skills with high attention to detail. Strong verbal and written communication skills — able to explain data-driven findings to non-technical stakeholders. Highly collaborative team player with a proactive mindset and willingness to learn. Desirable Hands-on exposure to Python or R for data modelling, automation, or analytics. Familiarity with cloud platforms, ETL tools, or workflow orchestration frameworks. Ability to self-manage workload and prioritise tasks in line with changing business needs.