software engineer

ai engineer

full stack engineer

analytics engineer

platform engineer

bi engineer

<div>Role description 


Job Title: Power BI Engineer - Wealth/ Asset management/Finance industry exp

Location: London

Hybrid working model with 3 days onsite mandatory

Immediate start

Fixed term contract/ Contract inside IR35 only until 31st Dec 2026 with possible extensions

Applicants must be legally authorized to work in the United Kingdom without the need for current or future visa sponsorship

 Overview

We are seeking an experienced Power BI Engineer to support our client's Wealth team. This is a critical hire to ensure continuity of reporting deliverables ahead of key deadlines.

Key Responsibilities
<ul>
<li>Design, develop, and maintain Power BI dashboards and reports for finance/wealth stakeholders</li>
<li>Translate business requirements into data models and visual insights</li>
<li>Support data validation, quality checks, and performance optimisation</li>
<li>Manage and enhance existing reporting solutions during transition period</li>
</ul>
Must Have
<ul>
<li>Strong experience with Power BI (development, DAX, data modelling)</li>
<li>Proven experience in Finance domain</li>
<li>Ability to deliver under tight deadlines and fast-paced environments</li>
<li>Experience working with stakeholders and translating business needs into reports</li>
<li>Solid understanding of data integration and reporting best practices</li>
</ul>
Nice to Have
<ul>
<li>Experience with SQL / data warehousing</li>
<li>Knowledge of Azure data tools (e.g., Azure SQL, Data Factory, Synapse)</li>
<li>Familiarity with agile delivery environments</li>
</ul>
If interested, please apply with your updated CV for an immediate discussiion

#UST 
Skills 
Power BI,SQL,Finance management,Business intelligence, 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Power BI Engineer - Wealth/ Finance industry exp (Developer III - Software Engineering)

JustPark

<div>About JustPark
JustPark is the premier partner offering both B2B solutions for destinations and B2C services for drivers, giving us the best of both worlds. We simplify the entire parking experience. From venues and councils to private driveways, our platform makes it simple for drivers to find, book, and pay for parking, while empowering our operating partners to deliver exceptional parking experiences.
We've always believed parking should be easier, from end to end. That's why we, two trailblazing companies - ParkHub and JustPark - have come together to make that vision a reality.
ParkHub revolutionized event parking in the US, optimizing venue operations for a smoother, stress-free experience. JustPark transformed parking in the UK, turning the hunt for a spot into a simple, seamless task.
Now, as one unified company, we're combining expertise to offer a full-service, frictionless parking solution for both businesses and consumers.
About the Role
The Analytics Engineer is a hands-on technical role within JustPark's data team, sitting at the intersection of data engineering and analytics. You'll be responsible for building and maintaining clean, well-tested data models that power reporting, BI, and business decision-making across our two-sided marketplace. Working closely with the Data Platform and BI teams, you'll help translate raw data into trusted, scalable assets that shape how JustPark makes decisions.
This is an ideal role for someone who is fluent in dbt and BigQuery, enjoys owning modelling problems end-to-end, and can hit the ground running in a fast-moving product environment.
Responsibilities<ul><li>
Build, test, and document dbt models in BigQuery across the staging, intermediate, and mart layers that power analytics and reporting across the business</li><li>
Partner with the BI team and Data Platform Lead to turn business questions into reusable, well-modelled data assets</li><li>
Work with backend engineers to stay ahead of schema changes and resolve data quality issues at source rather than patching them downstream</li><li>
Improve the warehouse over time &mdash; reducing complexity, improving query performance, and keeping BigQuery costs in check</li><li>
Contribute to data governance: documentation, naming standards, discoverability, and exploring how emerging AI tooling can strengthen the data platform</li></ul>
What does success look like in your first 3 months?<ul><li>
You'll have a solid understanding of the existing dbt project, data models, and key reporting areas, and is working independently on modelling tasks with minimal direction</li><li>
You shipped well-structured, tested dbt models that analysts and stakeholders can trust and use, and identified at least one area of the warehouse to meaningfully improve</li><li>
You built effective working relationships with the BI team, Data Platform Lead, and backend engineers, staying ahead of schema changes rather than reacting to them</li><li>
Documentation and governance contributions are in place, making it easier for the team to build on the work going forward</li></ul> 

Requirements 
Must-haves<ul><li>
4+ years of hands-on dbt Core experience in a production environment</li><li>
Proficient in SQL and comfortable with modern data warehouse concepts such as dimensional modelling and layered architecture</li><li>
Practical cloud data warehouse experience, with the ability to write efficient queries and a solid understanding of how to improve performance</li><li>
Translates business requirements into delivery, comfortable working from a business problem through to a shipped model</li><li>
Understands the distinction between transactional and analytical systems, and how backend schema changes can affect downstream data models</li><li>
Comfortable working in a git-based development workflow, including pull requests, code reviews, and contributing to team coding standards</li><li>
Takes ownership of data quality in the models they build, proactively identifying and resolving issues rather than treating it as someone else's problem</li><li>
Curiosity about AI applications in data, including how modern tooling and semantic layers can be leveraged to build more intelligent data products</li></ul>
Nice-to-haves<ul><li>
Experience with dbt Cloud and BigQuery, including scheduling, orchestration, and warehouse optimisation</li><li>
Familiarity with Tableau or supporting analysts who use BI tools</li><li>
Experience building semantic layers, ideally with an understanding of how they support LLM and AI applications</li><li>
Experience with CDC pipelines or event-driven data architectures</li><li>
Python for data transformation or automation tasks</li></ul> 

Benefits 
Recharge your batteries<ul><li>
Generous holiday policy: 25 days + bank holidays + managers can grant up to 5 extra days for high performance (total of 38 days a year)</li><li>
Free lunch on all office days via Feedr with daily meal choice</li><li>
Free snacks &amp; drinks on all office days</li></ul>
Investment in you and your wellbeing<ul><li>
Private Medical Insurance with Vitality</li><li>
Life assurance through YuLife</li><li>
&pound;25 credit for eye tests per year</li><li>
Free O2 concert tickets through our partnership with the O2</li></ul>
Simplifying journeys so you can breathe easier<ul><li>
&pound;50 parking credit per month via JustPark</li><li>
Cycle-to-work salary sacrifice scheme</li><li>
EV salary sacrifice car scheme via Octopus Energy</li></ul>
We look out for your family<ul><li>
Enhanced parental leave with 6-months enhanced maternity leave and 4 weeks fully-paid paternity leave</li><li>
Help finding great childcare with funded hours via Koru Kids</li></ul>
Look after the pennies<ul><li>
Competitive pension offering with standard and salary sacrifice options</li></ul>
Success is best when it's shared<ul><li>
Quarterly away days with the whole UK team</li><li>
Quarterly team social budget</li><li>
Social activities and celebrations on our gorgeous rooftop in King's Cross</li></ul>
Our Interview Process<ul><li>
First-stage - 30-minute virtual video interview via Google Meet with the People Team to tell you more about JustPark and the role and learn more about your experience</li><li>
Second-stage - 45-minute virtual video interview via Google Meet with the Hiring Manager</li><li>
Third-stage - Take home task - We always make sure that the task is relevant for the role and as efficient as possible. Our tasks vary in length based on role &amp; seniority but the task wouldn&rsquo;t take longer than a max. of 3-4 hours to complete</li><li>
Final stage - A 1 hour final interview in our lovely office in Kings Cross, where the team will ask you some questions on your task approach, any learnings and wider final interview-type questions</li></ul></div>

Analytics Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are looking for a highly analytical Business Intelligence Engineer to join Amazon&rsquo;s Global Accounting Business Intelligence and Analytics team.
 
 
The Accounting BI team supports the global Accounting organization with process automation/improvements, developing automated reporting solutions/tools, and improving the ability of the accounting organization to process, analyze, access and consume accurate and timely financial data. The team supports the global accounting organization and partners closely with accountants and financial analysts supporting the various businesses and industries Amazon operates in.
 
 
The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with excellent analytical abilities, deep knowledge of business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies.
 
 
Key job responsibilities 
<ul><li>Collaboration and partnership with Accounting and software development teams driving enterprise level projects</li><li>Contributing to the design, development, and maintenance of multiple scalable solutions supporting internal/external global stakeholders</li><li>Coordinating project prioritization with multiple stakeholders, managing and executing competing priorities from end to end within defined timelines</li><li>Supporting the global accounting organization with various ad-hoc reporting, analyses, and data processing needs</li><li>Integrating AI capabilities into business intelligence operations, identifying opportunities to leverage AI for enhanced insights, optimization, and operational efficiency</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)</li><li>Experience with SQL</li><li>Experience in the data/BI space</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree, or Advanced technical degree</li><li>Knowledge of data modeling and data pipeline design</li><li>Experience with statistical analysis, co-relation analysis</li></ul> 
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Intelligence Engineer, Accounting

<div>
 
 
 About JustPark
 
 
 
 JustPark is the premier partner offering both B2B solutions for destinations and B2C services for drivers, giving us the best of both worlds. We simplify the entire parking experience. From venues and councils to private driveways, our platform makes it simple for drivers to find, book, and pay for parking, while empowering our operating partners to deliver exceptional parking experiences.
 
 
 We've always believed parking should be easier, from end to end. That's why we, two trailblazing companies - ParkHub and JustPark - have come together to make that vision a reality.
 
 
 ParkHub revolutionized event parking in the US, optimizing venue operations for a smoother, stress-free experience. JustPark transformed parking in the UK, turning the hunt for a spot into a simple, seamless task.
 
 
 Now, as one unified company, we're combining expertise to offer a full-service, frictionless parking solution for both businesses and consumers.
 
 
 
 
 
 
 About the Role
 
 
 
 The Analytics Engineer is a hands-on technical role within JustPark's data team, sitting at the intersection of data engineering and analytics. You'll be responsible for building and maintaining clean, well-tested data models that power reporting, BI, and business decision-making across our two-sided marketplace. Working closely with the Data Platform and BI teams, you'll help translate raw data into trusted, scalable assets that shape how JustPark makes decisions.
 
 
 This is an ideal role for someone who is fluent in dbt and BigQuery, enjoys owning modelling problems end-to-end, and can hit the ground running in a fast-moving product environment.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Build, test, and document dbt models in BigQuery across the staging, intermediate, and mart layers that power analytics and reporting across the business
 </li>
 <li>
 Partner with the BI team and Data Platform Lead to turn business questions into reusable, well-modelled data assets
 </li>
 <li>
 Work with backend engineers to stay ahead of schema changes and resolve data quality issues at source rather than patching them downstream
 </li>
 <li>
 Improve the warehouse over time &mdash; reducing complexity, improving query performance, and keeping BigQuery costs in check
 </li>
 <li>
 Contribute to data governance: documentation, naming standards, discoverability, and exploring how emerging AI tooling can strengthen the data platform
 </li>
 </ul>
 
 
 
 
 
 What does success look like in your first 3 months?
 
 
 <ul>
 <li>
 You'll have a solid understanding of the existing dbt project, data models, and key reporting areas, and is working independently on modelling tasks with minimal direction
 </li>
 <li>
 You shipped well-structured, tested dbt models that analysts and stakeholders can trust and use, and identified at least one area of the warehouse to meaningfully improve
 </li>
 <li>
 You built effective working relationships with the BI team, Data Platform Lead, and backend engineers, staying ahead of schema changes rather than reacting to them
 </li>
 <li>
 Documentation and governance contributions are in place, making it easier for the team to build on the work going forward
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 Must-haves
 
 
 <ul>
 <li>
 4+ years of hands-on dbt Core experience in a production environment
 </li>
 <li>
 Proficient in SQL and comfortable with modern data warehouse concepts such as dimensional modelling and layered architecture
 </li>
 <li>
 Practical cloud data warehouse experience, with the ability to write efficient queries and a solid understanding of how to improve performance
 </li>
 <li>
 Translates business requirements into delivery, comfortable working from a business problem through to a shipped model
 </li>
 <li>
 Understands the distinction between transactional and analytical systems, and how backend schema changes can affect downstream data models
 </li>
 <li>
 Comfortable working in a git-based development workflow, including pull requests, code reviews, and contributing to team coding standards
 </li>
 <li>
 Takes ownership of data quality in the models they build, proactively identifying and resolving issues rather than treating it as someone else's problem
 </li>
 <li>
 Curiosity about AI applications in data, including how modern tooling and semantic layers can be leveraged to build more intelligent data products
 </li>
 </ul>
 
 
 
 
 
 Nice-to-haves
 
 
 <ul>
 <li>
 Experience with dbt Cloud and BigQuery, including scheduling, orchestration, and warehouse optimisation
 </li>
 <li>
 Familiarity with Tableau or supporting analysts who use BI tools
 </li>
 <li>
 Experience building semantic layers, ideally with an understanding of how they support LLM and AI applications
 </li>
 <li>
 Experience with CDC pipelines or event-driven data architectures
 </li>
 <li>
 Python for data transformation or automation tasks
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 
 
 Recharge your batteries
 
 
 <ul>
 <li>
 Generous holiday policy: 25 days + bank holidays + managers can grant up to 5 extra days for high performance (total of 38 days a year)
 </li>
 <li>
 Free lunch on all office days via Feedr with daily meal choice
 </li>
 <li>
 Free snacks &amp; drinks on all office days
 </li>
 </ul>
 
 
 
 
 
 Investment in you and your wellbeing
 
 
 <ul>
 <li>
 Private Medical Insurance with Vitality
 </li>
 <li>
 Life assurance through YuLife
 </li>
 <li>
 &pound;25 credit for eye tests per year
 </li>
 <li>
 Free O2 concert tickets through our partnership with the O2
 </li>
 </ul>
 
 
 
 
 
 Simplifying journeys so you can breathe easier
 
 
 <ul>
 <li>
 &pound;50 parking credit per month via JustPark
 </li>
 <li>
 Cycle-to-work salary sacrifice scheme
 </li>
 <li>
 EV salary sacrifice car scheme via Octopus Energy
 </li>
 </ul>
 
 
 
 
 
 We look out for your family
 
 
 <ul>
 <li>
 Enhanced parental leave with 6-months enhanced maternity leave and 4 weeks fully-paid paternity leave
 </li>
 <li>
 Help finding great childcare with funded hours via Koru Kids
 </li>
 </ul>
 
 
 
 
 
 Look after the pennies
 
 
 <ul>
 <li>
 Competitive pension offering with standard and salary sacrifice options
 </li>
 </ul>
 
 
 
 
 
 Success is best when it's shared
 
 
 <ul>
 <li>
 Quarterly away days with the whole UK team
 </li>
 <li>
 Quarterly team social budget
 </li>
 <li>
 Social activities and celebrations on our gorgeous rooftop in King's Cross
 </li>
 </ul>
 
 
 
 
 
 Our Interview Process
 
 
 <ul>
 <li>
 First-stage - 30-minute virtual video interview via Google Meet with the People Team to tell you more about JustPark and the role and learn more about your experience
 </li>
 <li>
 Second-stage - 45-minute virtual video interview via Google Meet with the Hiring Manager
 </li>
 <li>
 Third-stage - Take home task - We always make sure that the task is relevant for the role and as efficient as possible. Our tasks vary in length based on role &amp; seniority but the task wouldn&rsquo;t take longer than a max. of 3-4 hours to complete
 </li>
 <li>
 Final stage - A 1 hour final interview in our lovely office in Kings Cross, where the team will ask you some questions on your task approach, any learnings and wider final interview-type questions
 </li>
 </ul>
</div>

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Own the analytics that leadership actually uses to run the business. As a Senior Business Intelligence Engineer, you'll define the metrics, build the data products, and deliver the analysis that directors and VPs depend on for high-stakes decisions where accuracy isn't negotiable. 
 
This is a senior role on a team that works closely with business leaders, so the problems you take on are ambiguous, consequential, and rarely solved by a standard report. You'll translate unclear business questions into precise, measurable analysis, build the data foundation to answer them, and defend your methodology when senior stakeholders press on it. We value depth and detail: clean logic, defensible metric definitions, and analysis that holds up under scrutiny. 
 
Why you'll want this role: 
 
<ul><li>A direct line of sight from your analysis to the decisions leadership makes</li><li>Hard problems with real stakes,</li><li>A team that cares about mechanisms, clarity, and getting definitions right</li><li>Room to set standards and grow into broader technical leadership</li></ul> 
Key job responsibilities 
What you'll do: 
 
<ul><li>Lead analytics on executive-level projects from the first question through to a clear recommendation</li><li>Build and own the pipelines, models, and dashboards that drive decisions, with reliability treated as part of the job</li><li>Set the standard for metric definitions, finance and operational reconciliation, and data quality across the team</li><li>Mentor other BIEs and raise the bar on SQL, data modeling, and analytical rigor</li><li>Present to senior leadership, demonstrating leadership principles: Ownership, and Have Backbone; Disagree &amp; Commit</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience with SQL</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience in the data/BI space</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience managing, analyzing and communicating results to senior leadership</li></ul> 
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Senior Business Intelligence Engineer, EU Retail TCEE Data & Analytics

<div><h4 class="jobSectionHeader">Key points</h4>
Contract: Full time, permanent contract (hybrid working) 
Team: Knowledge Management 
Reports To: Associate Knowledge Management<h4 class="jobSectionHeader"> 
Overview</h4>
ZHA is evolving its data capabilities to support world‑leading design, project delivery and decision‑making. We are seeking an Analytics Engineer to help advance the practice&rsquo;s data ecosystem by transforming raw information into well‑modelled, actionable datasets that empower our teams to explore, analyse and innovate. 
Working at the intersection of data engineering and analytics, you will develop the pipelines, transformations and models that underpin our modern lakehouse platform; enabling advanced reporting, data visualisation, digital tools and emerging AI workflows. You will collaborate with teams across the business, helping to make their data more accessible, reliable and impactful. 
This role is an opportunity to help define how a leading practice leverages data: creating clarity, consistency and confidence in the information that drives both our creative and operational excellence.<h4 class="jobSectionHeader"> 
Main responsibilities</h4><ul><li>
Develop and maintain scalable ELT/ETL pipelines in Azure Data Factory and Databricks, supporting both existing and new data sources.</li><li>
Build, refine and optimise transformation logic using Databricks notebooks, Python, SQL and Spark.</li><li>
Model data across Bronze, Silver and Gold layers to ensure structure, consistency and clarity.</li><li>
Collaborate with colleagues across architecture, finance, operations, and technology to understand data needs and translate them into well-designed models and solutions.</li><li>
Ensure data quality through validation, testing and clear documentation.</li><li>
Implement data governance controls and access policies with Unity Catalog.</li><li>
Support business-critical system transformations by managing data migrations and ensuring data quality and continuity.</li><li>
Champion best practices in data engineering, analytics, version control and development workflows.</li></ul><h4 class="jobSectionHeader">
Your profile</h4><ul><li>
You are passionate about data and analytics, with a drive to solve real business problems with data.</li><li>
You are proactive, detail-oriented and committed to continuous improvement and learning.</li><li>
You enjoy solving complex business challenges with data and are comfortable with ambiguity and change.</li><li>
You value clear documentation, knowledge sharing and collaboration.</li></ul>
You can communicate complex technical concepts in a way that is accessible and relevant to business stakeholders.<h4 class="jobSectionHeader"> 
Skills Required</h4><ul><li>
Bachelor&rsquo;s Degree in Computer Science, Data Engineering, Information Systems or related STEM field.</li><li>
Minimum 2+ years&rsquo; experience in analytics engineering, data engineering or data platform development.</li><li>
Experience with Azure, Microsoft 365, Power Platform and Microsoft Graph API.</li><li>
Exposure to AI/ML workflows and understanding of data requirements for model training and deployment.</li><li>
Familiarity with Architectural, Design or Creative industries is a plus.</li></ul><h4 class="jobSectionHeader">
About us</h4>
ZHA redefined architecture for the 21st century with a repertoire of projects that have captured imaginations across the globe. Creating buildings uniquely tailored to the communities they serve, ZHA has been awarded the highest honours from professional and academic institutions worldwide. Founded by Dame Zaha, ZHA is one of the world&rsquo;s most innovative architectural studios&mdash;and has been for almost 50 years. These five decades of detailed research are inscribed within ZHA&rsquo;s buildings which become more spatially inventive, more structurally efficient, more technologically advanced, and more environmentally considerate with each new design. ZHA&rsquo;s 500 staff in five offices worldwide are currently developing projects in 34 countries across six continents&mdash;combining pioneering design solutions with ecologically sound materials and sustainable construction practices to meet the aspirations of each new generation.</div>

Analytics Engineer (Mid-level)

Athsai

<div>
 
 **Employment Type:** Permanent
 
 
 **Salary:** Up to &pound;75k
 
 
 **Location:**
 
 
 in the Central London
 
 
 
 
 
 **Work Arrangement:** In-office only, five days a week.
 
 
 
 ---
 
 
 
 
 
 **Job Title:** Data Engineer
 
 
 
 
 
 **Experience Required:** 8 Years
 
 
 
 
 
 **Role Overview:**
 
 
 
 
 
 We are seeking a Data Engineer to design and implement scalable data solutions, including real-time and ETL/ELT data pipelines. Responsibilities include optimizing our data warehouse, creating Power BI reports, and developing AI-driven solutions using OpenAI APIs.
 
 
 
 
 
 **Key Responsibilities:**
 
 
 
 
 
 - Design and implement robust real-time data pipelines from diverse sources.
 
 
 - Maintain a high-performance data warehouse for reporting and analytics.
 
 
 - Develop insightful Power BI dashboards and reports for stakeholders.
 
 
 - Use Azure Data Factory, Azure Functions, and Logic Apps for data integration.
 
 
 - Employ Python and SQL for data transformation and analysis.
 
 
 - Leverage OpenAI APIs for AI/ML solutions.
 
 
 - Collaborate with teams to align data strategy with business goals.
 
 
 - Ensure data quality, consistency, and compliance.
 
 
 
 
 
 **Required Qualifications:**
 
 
 
 
 
 - 7-8 years in Data Engineering, Data Architecture, or related roles.
 
 
 - Experience with ETL/ELT pipelines and complex data ecosystems.
 
 
 - Proficiency in Python and strong SQL skills.
 
 
 - Familiarity wit
 
 h Azure services (Data Factory, Logic Apps, etc.).
 
 
 
 - Expertise in Power BI for data modeling and visualization.
 
 
 - Experience with OpenAI APIs or similar services.
 
 
 - Understanding of data warehousing and data governance.
 
 
 
 
 
 **Preferred Qualifications:**
 
 
 
 
 
 - Knowledge of DevOps practices and CI/CD pipelines.
 
 
 - Familiarity with cloud-native data platforms (e.g., Databricks).
 
 
 - Understanding of data privacy regulations (e.g., GDPR).
 
</div>

Data Engineer - Azure/ADF

Explore 551+ Bi engineer in London this July. Find roles across top companies and apply now to boost your career.

551 bi engineer jobs In London

Power BI Engineer - Wealth/ Finance industry exp (Developer III - Software Engineering)

Analytics Engineer

Business Intelligence Engineer, Accounting

Analytics Engineer

Senior Business Intelligence Engineer, EU Retail TCEE Data & Analytics

Analytics Engineer (Mid-level)

Data Engineer - Azure/ADF