Data Engineer

Nottingham
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer - UK Perm - London Hrbrid

Oracle Java8 Scala Spring Data Engineer London £575d insideIR35

Data Engineer, DE55

Data Engineer - Databricks

Data Engineer - Hybrid / Nottingham

Full-time, Permanent | Remote

Salary: £50,000.00 to £60,000.00 per Annum

We are currently seeking a highly skilled Data Engineer to join our team on a Hybrid basis with a requirement to visit our head office in Nottingham. As a Data Engineer, you will play a pivotal role in our company's success by developing, testing, and maintaining our data infrastructure and systems. You will work closely with our product managers, software developers, data analysts, and other stakeholders to ensure efficient data flow across multiple systems that meet our Customers' requirements and expectations.

Your Tasks and Responsibilities

Data Pipeline Development: Design, build, and maintain scalable ETL (Extract, Transform, Load) processes to facilitate data ingestion and transformation from various sources.

Data Modelling: Create and maintain data models that support analytics and reporting needs. Ensure data integrity and consistency across various data systems.

Database Management: Administer and optimize relational databases to ensure efficient storage, retrieval, and processing of large datasets.

Collaboration: Work closely with data scientists and analysts to understand their data needs and provide solutions that enable efficient data analysis.

Data Quality Assurance: Implement data quality checks and monitoring processes to ensure the accuracy and reliability of data.

Documentation: Maintain comprehensive documentation of data systems, pipelines, and processes to support knowledge sharing within the team.

Performance Tuning: Analyze and optimize existing data workflows for performance improvements and cost efficiency.

Stay Current: Keep up-to-date with industry trends and emerging technologies to continuously enhance our data engineering practices.

Your knowledge and experience

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field; Master’s degree is a plus.

Proven experience as a Data Engineer or in a similar role, with a strong understanding of data warehousing and data modelling principles.

Proficiency in programming languages such as C#, Python, Java, or Scala.

Proficiency using Microsoft Visual Studio IDE.

Experience with ETL tools and data pipeline orchestration tools.

Strong knowledge of SQL and experience with relational databases (e.g., MSSQL, PostgreSQL, MySQL).

Experience with building and maintaining SSIS packages, SSAS, Azure Data Factory.

Familiarity working in a hybrid environment which includes both on premise and Azure data integration solutions.

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data services (e.g., Redshift, BigQuery, Snowflake).

Understanding of data security best practices and experience implementing security measures.

Excellent problem-solving skills and the ability to work collaboratively in a team environment.

Knowledge and experience of working with data visualization tools (e.g. Power BI, SSRS) and experience working with business intelligence teams to create and modify business reports.

Experience with CI/CD pipelines and version control (e.g., Git).

Familiarity with data governance and GDPR compliance.

Motivated and enthusiastic individual with a positive ‘can do’ attitude.

Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

Hold a full clean driving license as travel between group sites will be required.

Experience working in retail/hospitality and gaming/gambling sectors is a plus.

Hit the Jackpot with Our Benefits

In return for everything you bring, we offer an exciting role in a dynamic business and a great rewards package. We’ll help you build your skills and career as you work with us in a business that never stands still. So, in addition to the salary range of £50,000.00 to £60,000.00 per Annum, we offer a comprehensive benefits package, including:

(email address removed) – a physical and mental wellbeing app for you and your family giving you fast remote access to a GP for advice and more

Thrive App – for your mental wellbeing approved by the NHS

My Eva – an online financial expert to help with any money-related matters

Buzz Brights Apprenticeships at management level

Buzz Learning, our digital learning platform with access to 100s of online courses

Access to Trained Mental Health Advocates for advice on your mental wellbeing

Staff discount 50% off bingo tickets, food & soft drinks

Refer a Friend Scheme

Pension Scheme

Buy 5 days addition holiday

#BB1

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.