Senior Data Engineer - SQL

Fruition Group
Leeds
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer - Snowflake & AWS

Senior Data Engineer - Snowflake - £90,000 - London - Hybrid

Senior Data Engineer - MS Fabric - Remote - £70k - £75k

Senior Data Engineer - Microsoft Fabric

Senior Data Engineer - Microsoft Fabric

Job Title -

Senior Data Engineer - SQL Location -

Hybrid - Leeds (2 days per week onsite) Salary -

£55,000 - £70,000 + Benefits Why Apply?

This is a brilliant opportunity for a skilled Senior Data Engineer to play a key role in delivering robust data solutions for a growing consultancy-led organisation. Working across enterprise-level projects, you'll design and develop modern data platforms using SQL, Power BI, and Azure technologies. This is a full-time Senior Data Engineer role where you'll work closely with cross-functional teams to ensure the successful delivery of business-critical data infrastructure. If you're searching for your next challenge in data engineering, this could be the perfect fit. Senior Data Engineer Responsibilities Design and implement efficient, scalable data pipelines and ETL processes Develop and manage SQL-based data solutions using SSIS, SQL Replication, and Azure Data Factory Build robust data models and dashboards in Power BI to support business intelligence initiatives Collaborate with analysts, developers, and stakeholders to gather requirements and translate into data solutions Maintain and improve data warehousing structures and reporting capabilities Ensure data quality, consistency, and security across systems Optimise performance of data workflows and troubleshoot data-related issues Contribute to data architecture decisions and technical documentation Senior Data Engineer Requirements Proven experience in a Data Engineering or related role, ideally within a consultancy or fast-paced delivery environment Advanced SQL skills with a strong background in database design and optimisation Hands-on experience with SSIS and SQL Replication Proficient in Power BI for dashboard development and data visualisation Experience with Azure Data Factory or similar cloud data integration tools Familiarity with Visual Studio for database projects Strong understanding of data warehousing principles Excellent problem-solving and communication skills Ability to manage multiple priorities and deliver high-quality solutions independently and as part of a team What's in it for me? Competitive salary Flexible hybrid working (2x days per week onsite) 25 days holiday + bank holidays Private healthcare Continuous learning budget and professional development support Exciting project work across multiple industries and domains Supportive and collaborative working culture We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

TPBN1_UKTJ

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.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.