At a Glance
- Tasks: Join us to unlock data insights and innovate with cutting-edge technologies like AI and ML.
- Company: 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: Dynamic team environment with excellent career growth and learning opportunities.
- Why this job: Make a real impact in data engineering while working with industry experts.
- Qualifications: Experience with PySpark, cloud platforms, and strong programming skills in Python and SQL.
The predicted salary is between 63000 - 77000 £ 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 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.
Job Description Your skills and attributes for success
- An excellent team player and able to work independently.
- Excellent client facing skills with experience on client projects.
- A self-starter who is proactive in nature.
- Excellent verbal, written communication, and presentational skills.
- Ability to build internal and external relationships.
- Effective negotiating and influencing skills.
- Ability to think creatively and propose innovative solutions.
To qualify for this role, you must have
- Proven experience and knowledge with Py Spark and Apache Spark including the fundamentals of how it works.
- Experience with cloud platforms (e. g., AWS, Azure, GCP) and data lake architectures.
- Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries.
- Use of Git Hub and CI/CD practices.
- Support development of the Azure Databricks Lakehouse platform, shaping frameworks and solutions that other engineering teams will adopt in future data projects.
- Build, optimise, and maintain data processing frameworks using Python, ensuring performance, scalability, and maintainability.
- Support DBT integration and best practices for transformation pipelines within Databricks.
• Apply software engineering principles including
- + Full development lifecycle management + Source control, automated testing, CI/CD + Design patterns and reusable solutions + Coding standards and patterns
- Collaborate with technical solution authorities, ensuring alignment with governance, design decisions, and platform standards.
- Collaborate closely with the Cloud Architecture and Data Architecture teams to deliver approved solutions.
- Take ownership of requirements, communicate effectively across teams, and deliver high quality solutions.
- Experience of Dev Ops and infrastructure deployments (Azure and Databricks).
- A proactive awareness of industry standards, regulations, and developments.
- 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.
- Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure, AWS, GCP, Snowflake) and their integration with Databricks is advantageous
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.
#Talan UK#LI-HB1 Qualifications 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.
- An excellent team player and able to work independently.
- Excellent client facing skills with experience on client projects.
- A self-starter who is proactive in nature.
- Excellent verbal, written communication, and presentational skills.
- Ability to build internal and external relationships.
- Effective negotiating and influencing skills.
- Ability to think creatively and propose innovative solutions.
- Proven experience and knowledge with Py Spark and Apache Spark including the fundamentals of how it works.
- Experience with cloud platforms (e. g., AWS, Azure, GCP) and data lake architectures.
- Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries., Take ownership of requirements, communicate effectively across teams, and deliver high quality solutions.
- Experience of Dev Ops and infrastructure deployments (Azure and Databricks).
- A proactive awareness of industry standards, regulations, and developments.
- 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.
- Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure, AWS, GCP, Snowflake) and their integration with Databricks is advantageous
- 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.
- 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.
- An excellent team player and able to work independently.
- Excellent client facing skills with experience on client projects.
- A self-starter who is proactive in nature.
- Excellent verbal, written communication, and presentational skills.
- Ability to build internal and external relationships.
- Effective negotiating and influencing skills.
- Ability to think creatively and propose innovative solutions.
- Proven experience and knowledge with Py Spark and Apache Spark including the fundamentals of how it works.
- Experience with cloud platforms (e. g., AWS, Azure, GCP) and data lake architectures.
- Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries., Take ownership of requirements, communicate effectively across teams, and deliver high quality solutions.
- Experience of Dev Ops and infrastructure deployments (Azure and Databricks).
- A proactive awareness of industry standards, regulations, and developments.
- 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.
- Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure, AWS, GCP, Snowflake) and their integration with Databricks is advantageous
- 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.
- 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.
- #J-18808-Ljbffr
Data Engineering Consultant - Pyspark employer: Talan
Talan is an excellent employer for those passionate about smart energy solutions, offering a collaborative work culture that prioritises innovation and professional growth. Located in the heart of GB, employees benefit from engaging with industry experts and contributing to impactful projects that enhance energy security and privacy. With a strong commitment to employee development and a focus on meaningful work, Talan provides a rewarding environment for Smart Energy Analysts looking to make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Consultant - Pyspark
✨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 Data Engineering Consultant - Pyspark 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 Data Engineering Consultant - Pyspark 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 Data Engineering Consultant - Pyspark
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.
