Data Analyst

Adria Solutions
Derbyshire, United Kingdom
Last month
£40,000 – £50,000 pa
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Salary

£40,000 – £50,000 pa

Posted
2 Apr 2026 (Last month)
Data Analyst We are looking for a Data Analyst to improve data quality, governance, and availability across the business. You will help create “gold” datasets, establish lightweight governance, and automate quality checks to support accurate, trusted reporting. Key Responsibilities Inventory and profile existing data sources (apps, databases, files, SaaS). Design and implement data cleansing and standardisation pipelines. Maintain data dictionaries, lineage diagrams, and semantic layers. Establish pragmatic governance: data ownership, KPIs, thresholds, and access controls. Implement automated data quality checks, dashboards, and root-cause remediation. Ensure trust, consistency, and timeliness of critical business datasets. Success Measures Governance charter agreed with stakeholders and data owners appointed. Cleansing pipelines operational with automated checks for key datasets. “Gold” datasets live for priority business use cases. Data quality metrics: ≥98% validity, ≥99% referential integrity, duplicates <0.5%. ≥90% of reporting sourced from curated datasets; issues resolved at source. Key Traits Quality-focused and data-driven; fixes at the source. Pragmatic, enforceable governance mindset. Analytical with strong problem-solving skills. Clear communicator bridging business and technical teams. Ownership-driven and system-aware. Skills & Experience 2+ years in data analysis/engineering, hands-on profiling, cleansing, and modelling. Experience building repeatable data pipelines in cloud/data warehouse platforms (e.g., Azure/Synapse/Fabric, Snowflake, BigQuery, Redshift). Proficient with data prep and QA automation; strong understanding of master/reference data practices. Knowledge of access controls, PII handling, retention, and audit requirements. Preferred: Governance framework experience, streaming ingestion/schema evolution, ML-assisted entity resolution, retail/wholesale domain knowledge, familiarity with BI tools (Power BI, Looker, Tableau). Interested? Please Click Apply Now! Data Analyst

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Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

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Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

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Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.