Business Intelligence Developer

Templeton & Partners - Innovative & Inclusive Hiring Solutions
Greater London
2 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Developer (SQL / ETL / SSIS / PowerBI)

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer (SQL / ETL / SSIS / PowerBI)

Senior Business Intelligence Developer

Direct message the job poster from Templeton & Partners - Innovative & Inclusive Hiring Solutions

Dr Marina Economidou Software Engineer Python Agile Change

Are you aData & Reporting – BI Developer with Snowflake and MS SQL expertwith a passion for designing and buildingend-to-end data solutions? Do you thrive on solving complex business problems, creating robust data models, and delivering impactful solutions? If so, we want to hear from you!

Why Join?

High-Impact Role:Be at the heart of designing a brand-newTechnicians Bonus solutionusingSnowflake.

Collaborative Environment:Work alongside a dynamicData & Reporting teamto drive meaningful results.

Flexibility:Enjoy the freedom of mostlyremote workwith potential in-office collaboration once a week.

Key Responsibilities

  1. Data Preparation:UseMS SQL ServerandSnowflaketo prepare and optimize data for reporting.
  2. Solution Design & Data Modelling:Translate complex business needs into effective, scalable solutions.
  3. Testing:ConductUnit Testingand leadUser Acceptance Testingwith stakeholders to ensure solutions meet requirements.
  4. Documentation:Maintain clear and comprehensive documentation, ensuring a smooth handover post-project.

Secondary Responsibilities

  1. Requirements Gathering:Investigate existing data and reporting solutions to align with project goals.
  2. Stakeholder Engagement:Communicate effectively to understand business rules and refine solution designs.

What You Bring

  1. Snowflake & MS SQL Expertise:Proven experience in designing, data modelling, and building end-to-end solutions.
  2. Proactive & Self-Starter:Ability to dive into complex business requirements and propose creative, effective solutions.
  3. Effective Communicator:Strong collaboration skills with the ability to work with SMEs and project teams.

How Success is Measured

  1. Timely Delivery:Key reporting deliveredon timeand to specification.
  2. Robust Solutions:Ensure accuracy, fault tolerance, and scalability of all solutions.
  3. Seamless Handover:Documentation and handover completed smoothly.

What Will You Get?

  • Flexibleremote-first working, with occasional office collaboration at North London.
  • Laptop providedto support your work.
  • Opportunity to work on ahigh-impact projectin a supportive team environment.

Location:Remote, with potential to work at the north London office 1 day/week.

Ready to take on this exciting challenge? Apply now to join a fast-paced project where your skills will truly make an impact!

Marina Economidou, Senior Recruitment

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology, Research, and Finance

Industries

Motor Vehicle Manufacturing, Motor Vehicle Parts Manufacturing, and Wholesale Motor Vehicles and Parts

#J-18808-Ljbffr

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.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

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.

🍪 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.