At a Glance
- Tasks: Join a dynamic team to develop innovative data solutions using Databricks and PySpark.
- Company: Talan Data x AI, a leading consultancy in Data Management and Analytics.
- Benefits: Enjoy 25 days holiday, private medical insurance, and a unique reward programme.
- Other info: Opportunities for continuous learning and career growth in a Great Place to Work®.
- Why this job: Make an impact with cutting-edge technologies while enjoying a supportive work culture.
- Qualifications: Experience in data engineering, strong skills in Python, SQL, and Databricks required.
The predicted salary is between 51750 - 63250 £ per year.
- Senior Data Engineering Consultant (Databricks)
- Senior Data Engineering Consultant (Databricks)
- 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 Py Spark 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, Dev Ops, Testing).
- Experience of Dev Ops 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 the any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce.
- Cross and multi-platform experience.
- Team building and leading.
- #Talan UK#LI-HB1
Qualifications
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.
- Additional Information
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.
- 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.
- 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.
- Senior Data Engineering Consultant (Databricks)
- #J-18808-Ljbffr
Senior Data Engineering Consultant (Databricks) in London employer: Talan Group
Talan Group is an exceptional employer, offering a dynamic work environment in Greater London where innovation and collaboration thrive. With a strong focus on employee growth, we provide ample opportunities for professional development alongside a competitive salary and comprehensive benefits package, including private healthcare and generous leave policies. Join us to be part of a forward-thinking team that values flexibility and effective communication, making a meaningful impact in the Media and Publishing sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineering Consultant (Databricks) in London
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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 Group.
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We think you need these skills to ace Senior Data Engineering Consultant (Databricks) 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 Group, 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 Group. 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 Group
✨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 Group!
✨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.
