At a Glance
- Tasks: Lead innovative data platform projects and mentor tech teams to solve complex challenges.
- Company: Join a dynamic consulting firm with a focus on innovation and collaboration.
- Benefits: Enjoy flexible hybrid working, competitive salary, and generous annual leave.
- Other info: Be part of a supportive community that values inclusion and continuous learning.
- Why this job: Make a real impact in diverse sectors while growing your tech expertise.
- Qualifications: Experience in leading data engineering teams and designing scalable platforms.
The predicted salary is between 63000 - 77000 £ per year.
As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists with deep expertise in various sectors.
Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.
We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.
Why consider joining our Digital & Data community?
- Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions.
- Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity.
- Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same.
- Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring.
- Deepen your expertise through our culture of learning and growth – you'll have budget to take courses (technical and non-technical training), plus gain certifications.
Our tech stack:
- AWS, Azure and GCP
- Modern data platforms: Databricks, Snowflake and cloud-native data services
- Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns
- Data processing: Apache Spark, SQL and distributed processing technologies
- Data storage: Delta Lake, Apache Iceberg and open table formats
- Data pipelines: Enterprise-scale ETL/ELT, batch and streaming patterns
- Transformation and quality: dbt, Great Expectations and equivalent tooling
- Orchestration: Kafka and cloud-native event-streaming technologies
- Data modelling: Dimensional, analytical and domain-oriented modelling
- Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls
- Data products: Reusable, discoverable and well-governed data products and marketplaces
- DataOps and observability: Testing, monitoring, operational controls and platform reliability
- Platform engineering: Terraform, CloudFormation, Azure Bicep and infrastructure-as-code
- CI/CD: GitHub Actions, Azure DevOps, Jenkins and equivalent tooling
- Modernisation: Greenfield delivery, migration and integration of complex legacy data estates
- AI-enabled engineering: Work to agile best practices and cross-functionally with multiple teams and stakeholders.
You will have demonstrable experience of:
- Technically led data engineering or data platform teams, setting direction while enabling engineers to own and deliver solutions.
- Designed and delivered modern data platforms that are scalable, reliable and cost-effective in enterprise environments.
- Applying strong software engineering practices to data platforms, including testing, CI/CD and infrastructure-as-code.
- Establishing effective approaches to data quality, observability, governance, metadata and security.
- Leading data platform modernisation and migration, including coexistence, cutover and decommissioning.
- Shaping the end-to-end engineering lifecycle, improving how teams build, test, deploy and operate software and data products.
- Providing technical input into bids, proposals and client discussions, including shaping solution approaches and implementation plans.
Please be aware that some of our UK roles at PA Consulting require a UK security clearance. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance.
Additional Information:
- Assessment process: Quick video call with one of our Tech Recruiters – to discuss your application, the role and PA.
- Round 1: Competency interview (45 minutes).
- Round 2: It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.
- Health and lifestyle perks accompanying private healthcare.
- 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days.
- Generous company pension scheme.
- Opportunity to get involved with community and charity-based initiatives.
- Annual performance-based bonus.
- PA share ownership.
- Tax efficient benefits (cycle to work, give as you earn).
We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or any other range of human difference brought about by identity and experience.
Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on recruitmentenquiries@paconsulting.
Tech & Data Lead in Pimlico employer: PA Consulting
At PA Consulting, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As a Data Architect, you will have the opportunity to lead transformative projects in a hybrid working environment, allowing for flexibility while engaging with clients and colleagues. We are committed to your professional growth, offering continuous learning opportunities and the chance to work on cutting-edge AI-driven data solutions that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Tech & Data Lead in Pimlico
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PA Consulting!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Tech & Data Lead at PA Consulting.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PA Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like Tech & Data Lead at PA Consulting, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Tech & Data Lead in Pimlico
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at PA Consulting, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PA Consulting. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at PA Consulting
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PA Consulting!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.