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For Companies At a Glance
- Tasks: Unlock data insights and drive innovation with cutting-edge technologies like AI and ML.
- Company: Join Talan Data x AI, a top-rated consultancy recognised as a Great Place to Work.
- Benefits: Enjoy 25 days holiday, private medical insurance, and a performance-based bonus.
- 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.
- Other info: Dynamic team culture with opportunities for continuous learning and career growth.
The predicted salary is between 36000 - 60000 £ per year.
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 highlights Talan Data x AI's positive organisational culture and 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.
Responsibilities and skills
- 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 and 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.
What we offer:
- 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
Data Engineering Consultant in London employer: Talan - UK
Contact Detail:
Talan - UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Consultant in London
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at local meetups. The more people you know, the better your chances of landing that Data Engineering Consultant gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, PySpark, and Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios and demonstrate your critical thinking abilities. Remember, they want to see how you handle pressure!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our awesome team at Talan Data x AI.
We think you need these skills to ace Data Engineering Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Consultant role. Highlight your experience with data management, engineering, and any relevant technologies like Databricks and Power BI. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your passion for data and innovation. Tell us why you’re excited about working with Talan Data x AI and how you can contribute to our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on projects involving data pipelines, dashboards, or any of the technologies mentioned in the job description, make sure to include them. We love seeing real examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Talan - UK
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Databricks, PySpark, and Power BI. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Think about times when you had to think critically under pressure and how you delivered innovative solutions.
✨Engage with Stakeholders
Since client-facing skills are crucial, practice how you would communicate technical concepts to non-technical stakeholders. Be ready to demonstrate your ability to build relationships and influence decisions.
✨Demonstrate Continuous Learning
Talan values a passion for self-development, so highlight any recent courses or certifications you've completed. Discuss how you stay updated with industry trends and your proactive approach to learning new technologies.