Position: Director, Data Engineering We are on the lookout for a well-rounded Director, Data Engineering to contribute to our operational and strategic priorities. The organisation fosters a culture of continuous learning, development, and shared organisational accountability. Scope of Responsibilities: Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Maintain and optimise databases, data warehouses, and cloud-based data environments. Identify trends, anomalies, and patterns to generate actionable business intelligence. Document data architecture, lineage, and metadata management practices comprehensively. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Work with stakeholders to define data requirements and translate them into analytical solutions. Apply predictive and prescriptive analytics to solve complex business challenges. Collect, process, and analyse large datasets using statistical and machine learning methods. Competencies and Qualifications: Commitment to ongoing professional learning and industry knowledge enhancement. Bachelor's degree in a relevant discipline; master's degree or professional certification is preferred. Detail-oriented mindset with the ability to synthesise and present complex information clearly. Strong interpersonal and stakeholder management skills with a client-service orientation. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. At least 24 years of hands-on experience in a comparable professional setting. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Successful candidates will receive access to ongoing professional development and industry-leading resources.

Position: Big Data Architect Cloudera We seek a dedicated and solutions-focused Big Data Architect Cloudera to join our cross-functional, high-performing team. The selected professional will thrive in a data-driven, efficiency-focused, and collaborative work environment. Responsibilities Include: Develop and validate machine learning models ensuring scalability and production readiness. Identify trends, anomalies, and patterns to generate actionable business intelligence. Build interactive dashboards and reports that translate insights into business narratives. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Collect, process, and analyse large datasets using statistical and machine learning methods. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Work with stakeholders to define data requirements and translate them into analytical solutions. Skills and Qualifications: Strong communication, presentation, and interpersonal skills across all organisational levels. A structured, results-driven approach with the ability to meet defined milestones consistently. Willingness to travel, adapt, and take on additional responsibilities as the business demands. 26 years of relevant industry experience with evidence of increasing responsibility. Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Familiarity with regulatory, compliance, or quality frameworks applicable to the industry. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We are committed to fostering an inclusive workplace and welcome applications from candidates of all backgrounds.

Position: Data Scientist - Demand Forecasting Our organisation is looking for an ambitious Data Scientist - Demand Forecasting committed to quality outcomes and sustained growth. This position offers the opportunity to work with a diverse, cross-functional team in a results-oriented culture. Principal Responsibilities: Design data models and schemas optimised for analytical and high-performance workloads. Ensure compliance with data governance, privacy regulations, and security standards. Train, evaluate, and deploy machine learning models across classification and regression tasks. Implement data quality monitoring and automated alerting frameworks for pipelines. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Build A/B testing frameworks and experimentation infrastructure for product teams. Optimise SQL queries, stored procedures, and database performance across environments. Candidate Requirements: Advanced competency in analytical tools, reporting platforms, and role-specific technology. 5+ years of experience with demonstrated progression in scope, complexity, and responsibility. Commitment to professional ethics, confidentiality, and the highest standards of conduct. Effective presentation skills with the ability to communicate complex ideas with clarity. Sound understanding of organisational dynamics and stakeholder management in complex environments. Critical and strategic thinking skills with the ability to translate insights into clear actions. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Candidates who meet the above requirements are encouraged to submit their detailed CV at the earliest opportunity.

Position: Senior Manager, Data Engineering Our firm seeks a competent and professional Senior Manager, Data Engineering for a critical role in a high-performance environment. This is an opportunity to be part of a purpose-driven team reshaping industry standards and best practices. Key Deliverables and Responsibilities: Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Build self-service analytics capabilities that empower business teams to explore data. Train, evaluate, and deploy machine learning models across classification and regression tasks. Implement data quality monitoring and automated alerting frameworks for pipelines. Optimise SQL queries, stored procedures, and database performance across environments. Design data models and schemas optimised for analytical and high-performance workloads. Collaborate with engineering teams to embed analytics and AI into core product workflows. Publish insights, model performance reports, and data science findings to leadership. Professional Requirements: Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Hands-on experience with tools, software, and platforms standard to the profession. A structured, results-driven approach with the ability to meet defined milestones consistently. Willingness to travel, adapt, and take on additional responsibilities as the business demands. 26 years of relevant industry experience with evidence of increasing responsibility. Familiarity with regulatory, compliance, or quality frameworks applicable to the industry. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We value talent and invest in our people this role offers both professional challenge and meaningful rewards.

Position: Senior Data Engineer Join our forward-thinking team as a Senior Data Engineer and play a pivotal role in our continued success. This position is embedded within a high-functioning team that prizes collaboration, innovation, and quality. Main Accountabilities: Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Train, evaluate, and deploy machine learning models across classification and regression tasks. Ensure compliance with data governance, privacy regulations, and security standards. Build self-service analytics capabilities that empower business teams to explore data. Implement data quality monitoring and automated alerting frameworks for pipelines. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Design data models and schemas optimised for analytical and high-performance workloads. Build A/B testing frameworks and experimentation infrastructure for product teams. Essential Skills and Experience: 4+ years of experience with a demonstrated track record of growth and professional impact. Collaborative, proactive, and able to operate effectively with minimal supervision. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Superior writing and communication skills with experience preparing executive-level documents. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Applications are reviewed on a rolling basis; suitably qualified individuals are encouraged to apply promptly.

Position: Director of Data Engineering We are currently recruiting a results-oriented Director of Data Engineering to strengthen our high-performing team. This is an excellent opportunity for professionals who value structured career advancement and meaningful impact. Role Responsibilities: Optimise SQL queries, stored procedures, and database performance across environments. Publish insights, model performance reports, and data science findings to leadership. Design data models and schemas optimised for analytical and high-performance workloads. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Implement data quality monitoring and automated alerting frameworks for pipelines. Ensure compliance with data governance, privacy regulations, and security standards. Train, evaluate, and deploy machine learning models across classification and regression tasks. Build A/B testing frameworks and experimentation infrastructure for product teams. Education and Experience Requirements: Minimum 35 years of progressive professional experience in a comparable role. Excellent verbal and written communication skills; fluency in English is essential. A bachelor's degree or higher in a relevant field; postgraduate qualifications are an added advantage. Strong analytical and problem-solving skills with the ability to navigate complex challenges. Proven ability to manage competing priorities in a deadline-driven, dynamic environment. Experience collaborating within cross-functional teams and matrix organisational structures. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We look forward to welcoming a driven professional who shares our commitment to excellence and sustained impact.

Position: Big Data Consultant Financials A compelling career opportunity exists for a skilled Big Data Consultant Financials to drive meaningful impact. The organisation fosters a culture of continuous learning, development, and shared organisational accountability. Responsibilities Include: Maintain and optimise databases, data warehouses, and cloud-based data environments. Work with stakeholders to define data requirements and translate them into analytical solutions. Collect, process, and analyse large datasets using statistical and machine learning methods. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Apply predictive and prescriptive analytics to solve complex business challenges. Identify trends, anomalies, and patterns to generate actionable business intelligence. Present analytical findings to technical and non-technical stakeholders with clarity. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Skills and Qualifications: 26 years of relevant industry experience with evidence of increasing responsibility. Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Hands-on experience with tools, software, and platforms standard to the profession. Strong communication, presentation, and interpersonal skills across all organisational levels. A structured, results-driven approach with the ability to meet defined milestones consistently. Familiarity with regulatory, compliance, or quality frameworks applicable to the industry. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Successful candidates will receive access to ongoing professional development and industry-leading resources.

Position: Data Engineer We are seeking a highly qualified and motivated Data Engineer to join our dynamic and growing team. The selected professional will thrive in a data-driven, efficiency-focused, and collaborative work environment. Core Responsibilities: Identify trends, anomalies, and patterns to generate actionable business intelligence. Maintain and optimise databases, data warehouses, and cloud-based data environments. Document data architecture, lineage, and metadata management practices comprehensively. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Build interactive dashboards and reports that translate insights into business narratives. Work with stakeholders to define data requirements and translate them into analytical solutions. Develop and validate machine learning models ensuring scalability and production readiness. Apply predictive and prescriptive analytics to solve complex business challenges. Minimum Qualifications: Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Collaborative, proactive, and able to operate effectively with minimal supervision. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Excellent attention to detail and commitment to producing accurate, high-quality deliverables. 4+ years of experience with a demonstrated track record of growth and professional impact. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We are committed to fostering an inclusive workplace and welcome applications from candidates of all backgrounds.

Position: Big Data Engineering Lead - Wallet & Apple Pay - NYC A dynamic organisation seeks an experienced Big Data Engineering Lead - Wallet & Apple Pay - NYC to take on a multifaceted and impactful role. This position offers the opportunity to work with a diverse, cross-functional team in a results-oriented culture. Primary Duties and Responsibilities: Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Train, evaluate, and deploy machine learning models across classification and regression tasks. Ensure compliance with data governance, privacy regulations, and security standards. Build A/B testing frameworks and experimentation infrastructure for product teams. Implement data quality monitoring and automated alerting frameworks for pipelines. Develop scalable data engineering pipelines to ingest, transform, and serve data. Publish insights, model performance reports, and data science findings to leadership. Design data models and schemas optimised for analytical and high-performance workloads. Required Qualifications: Strong interpersonal and stakeholder management skills with a client-service orientation. At least 24 years of hands-on experience in a comparable professional setting. Bachelor's degree in a relevant discipline; master's degree or professional certification is preferred. Ability to work both independently and in a team-oriented, collaborative environment. Detail-oriented mindset with the ability to synthesise and present complex information clearly. Commitment to ongoing professional learning and industry knowledge enhancement. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Candidates who meet the above requirements are encouraged to submit their detailed CV at the earliest opportunity.

Position: Data Engineer We are on the lookout for a well-rounded Data Engineer to contribute to our operational and strategic priorities. The incumbent will operate in a structured yet agile environment that prioritises quality and professional growth. Key Responsibilities: Identify trends, anomalies, and patterns to generate actionable business intelligence. Maintain and optimise databases, data warehouses, and cloud-based data environments. Build interactive dashboards and reports that translate insights into business narratives. Develop and validate machine learning models ensuring scalability and production readiness. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Work with stakeholders to define data requirements and translate them into analytical solutions. Collect, process, and analyse large datasets using statistical and machine learning methods. Qualifications and Requirements: Strong analytical and problem-solving skills with the ability to navigate complex challenges. Demonstrated proficiency with industry-standard tools, platforms, and methodologies. Proven ability to manage competing priorities in a deadline-driven, dynamic environment. Experience collaborating within cross-functional teams and matrix organisational structures. A bachelor's degree or higher in a relevant field; postgraduate qualifications are an added advantage. Excellent verbal and written communication skills; fluency in English is essential. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. This is an outstanding opportunity for a motivated professional to advance their career within a reputable organisation.