National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineering and Reporting Specialist

Undisclosed
Barnsley
3 weeks ago
Create job alert

Role Title:Data Engineering and Reporting Specialist

Duration:contract to run until 28/11/2025

Location:Barnsley, hybrid 2 days per week onsite

Rate:up to £303.70 p/d Umbrellainside IR35


Role purpose / summary


We are seeking a highly skilled and detail-oriented Data Engineer and Reporting Specialist to join our analytics and reporting team. This role is ideal for someone with strong technical expertise in SQL, Python, BigQuery, and Excel, and a passion for building robust ETL pipelines and integrating data from diverse sources. You will play a key role in transforming raw data into curated datasets that power dashboards, reports, and strategic decision-making.


Key Skills/ requirements


  • Design, develop, and maintain ETL pipelines to ingest, transform, and load data from various sources into centralized data platforms.
  • Build and optimize data models and data marts in BigQuery to support analytics and reporting needs.
  • Create and maintain automated reporting solutions using Excel, SQL, and Python.
  • Collaborate with business stakeholders to understand data requirements and translate them into scalable datasets and dashboards.
  • Ensure data quality, consistency, and governance across all reporting layers.
  • Monitor and troubleshoot data workflows and performance issues.
  • Document data processes, definitions, and architecture for transparency and knowledge sharing.


Required Skills and Qualifications:


  • Proficiency in SQL for complex queries, data transformation, and performance tuning.
  • Strong experience with Python for data manipulation, automation, and scripting.
  • Hands-on experience with Google BigQuery or similar cloud data warehouses.
  • Advanced skills in Microsoft Excel, including pivot tables, formulas, and data visualization.
  • Solid understanding of ETL concepts, data integration, and data warehousing best practices.
  • Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration abilities.


Preferred Qualifications:


  • Experience working in agile or cross-functional teams.
  • Knowledge of BI tools such as Looker, Tableau, or Power BI.
  • Background in data governance, security, and compliance.


All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Related Jobs

View all jobs

Power BI Specialist - Infrastructure, Energy & Transportation

Clinical Data Analyst

Senior Business Intelligence Engineer

Senior Planner

Supply Chain Coordinator

Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.