Data Analyst - Engineer

February 25

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Axiom Software Solutions Limited

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Axiom Software Solutions Limited is a global information technology, consulting, and outsourcing company headquartered in London, UK, with offices in Noida, India. With over 20 years of IT experience, Axiom specializes in delivering digital solutions, technology consulting, and recruitment services across various industries including Banking & Financials, Healthcare, and Media & Telecom. Their expertise includes a wide range of technologies such as SAP, Oracle, Salesforce, and AWS, providing clients with tailored IT solutions to enhance operational efficiency and achieve business goals. Axiom prides itself on its ability to deliver cost-effective, adaptable solutions and has a significant track record of success with a wide professional network and talent pool to support diverse global needs.

201 - 500 employees

📋 Description

• Role: Data Analyst/Engineer • Type : Contractors • Duration : 3 to 6 months to start with • Location : UK, Remote • Senior Level Data Engineer/Data Analyst technical lead with data analytics experience, Databricks, Pyspark and Python • This is a key role that requires senior/lead with great communication skills who is very proactive with risk & issue management. • 10+ years of experience as Data Analyst/Data Engineer/Data Scientist with Databricks on AWS expertise in designing and implementing scalable, secure, and cost-efficient data solutions on AWS • Hands-on data analytics experience with Databricks on AWS, Pyspark and Python • Must have prior experience with migrating a data asset to the cloud using a GenAI automation option • Experience in migrating data from on-premises to AWS • Expertise in developing data models, delivering data-driven insights for business solutions • Experience in pretraining, fine-tuning, augmenting and optimizing large language models (LLMs) • Experience in Designing and implementing database solutions, developing PySpark applications to extract, transform, and aggregate data, generating insights • Data Collection & Integration: Identify, gather, and consolidate data from diverse sources, including internal databases and spreadsheets ensuring data integrity and relevance. • Data Cleaning & Transformation: Apply thorough data quality checks, cleaning processes, and transformations using Python (Pandas) and SQL to prepare datasets. • Automation & Scalability: Develop and maintain scripts that automate repetitive data preparation tasks. • Autonomy & Proactivity: Operate with minimal supervision, demonstrating initiative in problem-solving, prioritizing tasks, and continuously improving the quality and impact of your work • Minimum of 10 years of experience as a Data Analyst, Data Engineer, or related role, ideally with a bachelor's degree or higher in a relevant field. • Strong proficiency in Python (Pandas, Scikit-learn, Matplotlib) and SQL, with experience working across various data formats and sources. • Proven ability to automate data workflows, implement code-based best practices, and maintain documentation to ensure reproducibility and scalability. • Ability to manage in tight circumstances, very pro-active with risk & issue management • Requirement Clarification & Communication: Interact directly with colleagues to clarify objectives, challenge assumptions. • Documentation & Best Practices: Maintain clear, concise documentation of data workflows, coding standards, and analytical methodologies to support knowledge transfer and scalability. • Collaboration & Stakeholder Engagement: Work closely with colleagues who provide data, raising questions about data validity, sharing insights, and co-creating solutions that address evolving needs. • Excellent communication skills for engaging with colleagues, clarifying requirements, and conveying analytical results in a meaningful, non-technical manner.

🎯 Requirements