Future Tech Jobs Future Tech Jobs

Junior Data Engineer

Sagacity
London, United Kingdom
Last week
Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Junior
Education
Degree
Posted
19 May 2026 (Last week)
Share
Save job
Create job alert

As a Junior Data Engineer within the Production team, you will play a critical role in the swift, accurate, and secure progression of client jobs. You will be responsible for ensuring the reliability of data outputs, standardising external data, and driving process improvements that enhance our overall efficiency.

This role bridges technical execution with operational excellence, requiring a proactive individual who is detail-driven, process-orientated, and eager to grow their skills within AWS and Databricks. You will work closely with Account Managers, Sales, and cross-functional teams to deliver high-quality data solutions that meet our clients' needs.

Key Responsibilities

Data Processing & Accuracy

  • Ensure the swift, accurate, and secure progression of client jobs, performing bespoke file matches, standardisation, enhancement, and deduplication of external data.
  • Ensure the highest standards of data accuracy and reliability in all outputs, actively monitoring for discrepancies to reduce errors and rework over time.
  • Maintain strict adherence to security, confidentiality, and data compliance protocols in all data handling.

Technical Execution & Process Improvement

  • Perform ad-hoc queries, counts, and data manipulation using Databricks, SQL, and FastStats.
  • Identify, propose, and implement process improvements to enhance productivity, accuracy, and the overall efficiency of the Production team.
  • Develop and maintain robust ETL (Extract, Transform, Load) logic tailored to production requirements.

Documentation & Operations

  • Create, maintain, and update all in-scope documentation for the Production Team.
  • Map and document comprehensive process flows for each job type within Databricks to ensure operational resilience and knowledge sharing.

Cross-Functional Collaboration & Customer Focus

  • Collaborate effectively with Account Managers, Sales, Development, and Product teams to align data outputs with business and client expectations.
  • Actively gather and respond to feedback from stakeholders to measure customer satisfaction and continuously improve the usefulness and quality of data outputs.

Training & Development

  • Take ownership of your own learning path, setting self-objectives for skill growth, particularly in AWS and Databricks ecosystems.
  • Promote and implement knowledge transfer amongst team members to elevate the collective technical capability of the Production team.

Skills and Experience

Essential

  • Data Processing: 1-3 years of "hands-on" data processing experience, preferably working with name and address data used for marketing.
  • Technical Proficiency: Strong practical experience with Databricks andSQL.
  • Data Manipulation: Deep understanding of logical data manipulation processes, including data reformats, hygiene, enhancement, and deduplication.
  • Quality Assurance: Proven ability to analyze datasets, spot anomalies, and implement rigorous testing/validation to ensure data integrity.
  • Tools: Good working knowledge of the Microsoft Office suite (Word, Excel, Outlook).

Desirable

  • Familiarity or experience withFastStats.
  • Programming experience inPython or similar languages used for data engineering.
  • Basic understanding or exposure to cloud platforms, specificallyAWS.
  • Knowledge of various industry suppression files.
  • Experience with project management or ticketing tools (e.g., ClickUp).

Personal Attributes & Behaviours

To succeed in this role and align with Sagacity’s core values, we are looking for someone who embodies the following traits:

  • Self-Starter & Autonomous: Highly organised, efficient, and deadline-focused. You manage your own time effectively and take the initiative to solve problems.
  • Detail-Driven & Process-Orientated: You pride yourself on quality delivery, paying meticulous attention to detail, and ensuring completeness in all the work you do.
  • Agile & Curious: You have an inquisitive mind, embrace change, and are never afraid to ask questions to deepen your understanding or challenge the status quo.
  • Trusted & Customer-Focused: You build strong relationships with clients and internal stakeholders by demonstrating uncompromised integrity, openness, and accountability.
  • Clear Communicator: You practice open, honest, and simple communication, translating complex data concepts into understandable insights for non-technical stakeholders.
  • One Team Player: You work in unity and collaboration with colleagues and clients, treating everyone as one big team working toward a shared purpose.

Related Jobs

View all jobs

Junior Data Engineer

Pontoon Edinburgh, Alba / Scotland, United Kingdom
£30,000 – £39,000 pa Hybrid

Junior Data Engineer

Harnham - Data and Analytics Recruitment Liverpool, United Kingdom
£30,000 – £40,000 pa Hybrid

Junior Data Systems Analyst

Carbon 60 Marlow, Buckinghamshire, United Kingdom
Hybrid

Senior Data Engineer

Hays Technology Bridgend, Mid Glamorgan, United Kingdom
£55,000 – £63,249 pa Hybrid

Senior Data Engineer

Randstad Technologies Recruitment London, United Kingdom
£370 – £450 pd Hybrid

AWS Data Engineer

83zero Tower Hamlets, London, United Kingdom
£60,000 – £70,000 pa Hybrid Clearance Required

Industry Insights

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

Products

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

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

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

Data Engineering Jobs UK 2026: roles, salaries and the trends shaping UK data engineering hiring over the next three years — Spark, dbt, lakehouse and AI. 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.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Engineering roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.