Data Warehouse Developer / Project Leader

Centre People
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Oracle Data Warehouse Developer (SC Cleared)

Data Science / Data Mining Specialist

Data Engineer

Data Analyst

Systems and Data Analyst

  • Data Warehouse Developer / Project Leader

Ref: KM46371

Data Warehouse Developer / Project Leader

Sector:IT

Type:Full-time, Permanent

Location:London

Salary (Annual):£30k-50k depending on experience

Start:Summer 2025 (early start is welcome)

A major IT company in London is seeking a Data Warehouse Developer / Project Leader for the Japanese financial sector. The company is advancing the development of the DataHub system, which integrates data between the new system and existing downstream systems, and this position will play a central role in that. The development will be done collaboratively between the London and Tokyo offices, and this role will also include important responsibilities for system maintenance after implementation.

Data Warehouse Developer Main Responsibilities:

  1. DataHub System Development:Responsible for data integration between the new system and existing systems, handling data generation, transformation, and upload functions.
  2. Data Warehouse Construction:Understand data mapping between new and old systems and ensure accurate data integration.
  3. Problem-Solving and Task Management:Report to the project manager, manage tasks, resolve issues, and support the project’s progress.
  4. Collaboration with the Team:Facilitate communication and collaboration with cross-site IT teams, business leaders, and other IT vendors in both English and Japanese.
  5. Progress Reporting:Report project progress and issues in both English and Japanese.

Data Warehouse Developer Ideal Candidate:Required Qualifications:

  1. Experience with SQL and C# (Experience with SSIS and SQL Server is preferred).
  2. Experience as a project leader in large-scale IT projects.
  3. Ability to work independently and collaboratively within a team.
  4. Strong verbal and written communication skills in both English and Japanese.

Preferred Qualifications:

  1. EUC development experience in financial institutions.
  2. Experience working at a Japanese bank or understanding of Japanese culture.
  3. Strong analytical and problem-solving skills.

Note:All applicants must have the right to work in the country without any restrictions as the Company is not able to offer visa support.

#J-18808-Ljbffr

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

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 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.