Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst/Developer - KDB/Python

Harvey Nash Group
Belfast
2 days ago
Create job alert

Data Analyst/Developer - KDB/Python - sought by bank based in Belfast - Contract - Hybrid

*inside ir35 - umbrella*

Key Responsibilities
  • Develop and maintain Q/KDB+ queries and scripts for data analysis and reporting.
  • Build and support Python-based tools for data manipulation and analysis.
  • Create and manage Tableau dashboards to deliver insights into sales and trading activities.
  • Write and optimize complex SQL queries against large-scale data warehouses (preferably Impala).
  • Collaborate with business stakeholders to understand data needs and design effective BI solutions.
  • Work with technology teams to ensure data quality, integrity, and availability.
What We\'re Looking For
  • Financial Domain Knowledge: Deep understanding of equities data within a sales and trading environment at a broker-dealer, including market, order, and execution data.
  • Data Analysis & Manipulation: Experience working with large datasets using Q/KDB+, especially time-series data.
  • Programming & Scripting: Proficiency in Python and the Pandas library for data analysis, cleansing, and automation.
  • Data Visualization: Demonstrable experience designing interactive dashboards in Tableau.
  • Database & SQL Expertise: Advanced skills in writing complex SQL queries; experience with Impala is highly desirable.
  • Business Intelligence (BI) Modelling: Solid understanding of BI principles and experience developing and maintaining BI data models.

Please apply within for further details - Matt Holmes


#J-18808-Ljbffr

Related Jobs

View all jobs

Vacancy for Data Analyst (Developer) at The National Archives UK

Technology SQL Data Analyst & Reporting Developer- London, England. (Full-Time).

Assistant Data Engineer (Cabling)

Lead Data Analyst

Business Intelligence Developer

Data Analyst

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.