Data Engineer

Sheffield
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Location: Sheffield (Hybrid - 3 days per week onsite)

Salary: £50,000-£60,000 depending on experience

DCS Tech are searching for an experienced Data Engineer to join our clients growing team! You will play a crucial part in designing, building, and optimising the data infrastructure that underpins the organisation.

Key responsibilities

Design, develop, and deploy scalable, secure, and reliable data pipelines using modern cloud and data engineering tools.
Consolidate data from internal systems, APIs, and third-party sources into a unified data warehouse or data lake environment.
Build and maintain robust data models to ensure accuracy, consistency, and accessibility across the organisation.
Work closely with Data Analysts, Data Scientists, and business stakeholders to translate data requirements into effective technical solutions.
Optimise data systems to deliver fast and accurate insights supporting dashboards, KPIs, and reporting frameworks.
Implement monitoring, validation, and quality checks to ensure high levels of data accuracy and trust.
Support compliance with relevant data standards and regulations, including GDPR.
Maintain strong data security practices relating to access, encryption, and storage.
Research and recommend new tools, technologies, and processes to improve performance, scalability, and efficiency.
Contribute to migrations and modernisation projects across cloud and data platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks).
Create and maintain documentation aligned with internal processes and change management controls.

Experience & Technical Skills

Proven hands-on experience as a Data Engineer or in a similar data-centric role.
Strong proficiency in SQL and Python.
Solid understanding of ETL/ELT pipelines, data modelling, and data warehousing principles.
Experience working with cloud platforms such as AWS, Azure, or GCP.
Exposure to modern data tools such as Snowflake, Databricks, or BigQuery.
Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage.
Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform.

What you get in return:

Up to £60,000 per annum + benefits
Hybrid working (3 in office)
Opportunity to lead and mentor within a growing team!
Professional development and training support

This company is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Interested?

Please submit your CV to Meg Kewley at DCS Recruitment via the link provided.

Alternatively, email me at or call (phone number removed).

DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

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.

Jobs

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Education Jobs

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Jobs

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.