At a Glance
- Tasks: Lead data engineering projects and deliver innovative solutions using cutting-edge technologies.
- Company: Join Talan Data x AI, a top consultancy known for its positive culture and innovation.
- Benefits: Enjoy 25 days holiday, private medical insurance, and a unique sabbatical reward programme.
- Other info: Great career growth opportunities and a focus on continuous learning.
- Why this job: Make a real impact in the data world while developing your skills in a supportive environment.
- Qualifications: Experience in data management, engineering, and strong programming skills in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
Company Description
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).
Our consultants are at the heart of everything we do, and we have been recertified as a 2025 Great Place to Work®. This achievement not only highlights Talan Data x AI’s positive organisational culture but also strengthens its reputation as an employer of choice within the industry. We invest heavily in the training and development of our teams and hold regular socials in each region to encourage engagement and network building.
Your skills and attributes for success:
- Strong team player with the ability to work independently
- Excellent client‑facing and stakeholder engagement skills
- Proactive, self‑motivated, and adaptable
- Strong verbal, written, and presentation skills
- Ability to build effective internal and external relationships
- Strong influencing and negotiation skills
- Creative thinker with the ability to propose innovative solutions
- Passion for continuous learning and self‑development
- Leadership capability, either formally or through delivery ownership
To qualify for this role, you must have:
- Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence.
- Confident in delivering solutions using Databricks & developing and optimising data pipelines using PySpark within Databricks environments.
- Proven experience building, publishing, and supporting dashboards and reports using Power BI.
- Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries.
- Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure, AWS, GCP, Snowflake and their integration with Databricks.
- Experience with data ingestion, transformation, and quality control processes.
- Excellent problem-solving skills and the ability to think critically under pressure.
- Strong communication and interpersonal skills, with the ability to work effectively with clients and stakeholders.
- Experience of leading technical and/or project teams.
- A proactive awareness of industry standards, regulations, and developments.
- Project lifecycle experience, having played a leading role in the delivery of end-to-end projects, as well as a familiarity with different development methodologies and disciplines (e.g. Agile, Waterfall Scrum, DevOps, Testing).
- Experience of DevOps and infrastructure deployments (Azure and Databricks).
Ideally, you’ll also have:
- Delivery experience using the following technology: SAS (SAS EG, SAS DI, SAS Viya).
- Relational Databases and Data Warehousing concepts.
- Enterprise ETL tools such as Informatica, Talend, Datastage or Alteryx.
- Project experience using any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce.
- Cross and multi-platform experience.
- Financial services sector experience.
- Line management experience.
- Team building and leading.
- Mentoring/staff development experience.
You must be:
- Willing to work on client sites, potentially for extended periods.
- Willing to travel for work purposes and be happy to stay away from home for extended periods.
- Eligible to work in the UK without restriction.
What we offer:
- BDP Plus – A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.
- 25 days holiday + bank holidays.
- 5 days holiday buy/sell option.
- Discretionary Performance-based Bonus.
- Private medical insurance.
- Life cover.
- Cycle to work scheme.
- Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).
- Employee assistance programme.
- Bespoke online learning via Udemy for Business.
Senior Data Engineering Consultant in London employer: Talan
At Talan Data x AI, we pride ourselves on being a Great Place to Work® and an employer of choice in the data consultancy sector. Our commitment to innovation, employee development, and a vibrant work culture fosters an environment where consultants can thrive, engage, and grow their careers. With generous benefits like a sabbatical programme, private medical insurance, and a focus on continuous learning, we ensure our team members are well-supported both professionally and personally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineering Consultant in London
✨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 Talan!
✨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 Senior Data Engineering Consultant at Talan.
✨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 Talan.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineering Consultant at Talan, 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 Senior Data Engineering Consultant in London
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 Talan, 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 Talan. 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 Talan
✨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 Talan!
✨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.
