Data Analyst/Engineer

Axiom Software Solutions Limited; Remote; GBP 80,000 - 100,000; Part time

Job summary

A technology consulting firm is seeking a Senior Data Analyst/Engineer to lead data analytics projects remotely. This role requires over 10 years of experience, expertise in Databricks, Pyspark, and Python, and a strong ability to automate data workflows. Ideal candidates will have a solid background in migrating data to the cloud, performing data cleaning, and collaborating with stakeholders to discuss requirements. Excellent communication skills and proactivity in problem-solving are essential for this position.

Qualifications

• 10+ years of experience as Data Analyst/Data Engineer/Data Scientist.
• Expertise in designing and implementing scalable data solutions on AWS.
• Strong proficiency in Python, SQL, Databricks, Pyspark.

Responsibilities

• Develop and maintain scripts for automating data preparation tasks.
• Identify and gather data from diverse sources ensuring integrity.
• Interact with colleagues to clarify objectives and challenge assumptions.

Skills

Data analytics

Python (Pandas)

Databricks

SQL

Pyspark

Risk & issue management

Data cleaning & transformation

Education

Bachelor's degree or higher in a relevant field

Job description

Job Overview

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.

Experience and Education Required

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

Job Profile

• 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

Technical Skills

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.

Behavioral Skills

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.