Data Engineer

Smart Communications group
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

We are looking for an experienced data engineer to maintain, improve and develop our ETL pipelines.

As a Data Engineer, you will be working within the business, collaborating with partner teams on data consolidation and reporting initiatives enabling the business to make data driven decisions. This is a new role and a fantastic opportunity for someone to make their mark by driving and enabling our data vision.

About Smart Communications

Smart Communications is a leading technology company focused on helping businesses engage in more meaningful customer conversations. Its Conversation Cloud platform uniquely delivers personalized, omnichannel conversations across the entire customer experience, empowering companies to succeed in today’s digital-focused, customer-driven world while also simplifying processes and operating more efficiently.

Smart Communications is headquartered in the UK and serves more than 650 customers from offices located across North America, Europe, and Asia Pacific.

Responsibilities

  • Design, develop, and maintain data infrastructure, including warehouses, lakes, databases, and ETL pipelines.
  • Build scalable data pipelines to extract, transform, and load data while ensuring data quality and consistency.
  • Implement data quality controls and validation processes.
  • Monitor and analyze data trends to identify improvement opportunities.
  • Clearly communicate complex technical scenarios to various stakeholders.
  • Document data processes flows and system configurations for effective communication.

What we’re looking for:Must have skills/experience:

  • Bachelor’s degree in computer science or in a Data & Analytics related discipline
  • Knowledge of data structures and data architecture
  • Understanding of relational databases and data warehousing
  • Knowledge of SQL and Python
  • Experience in writing technical documentation
  • Eagerness to learn and stay updated with the latest technologies in the field of data engineering
  • Strong organizational and time management skills

Advantageous skills/experience:

  • Hands-on experience with Databricks, including development, implementation, and optimization in large-scale environments.
  • Experience with AWS.
  • Experience with SQL server SSIS packages.
  • Experience with reporting tools AWS QuickSight, PowerBI.

SMART Values

  • Speak Openly - We are positive, creative, helpful, kind and we have fun. We listen and provide constructive feedback. Through meaningful conversations we encourage each other to be the best that we can be.
  • Make a Difference - We focus on the things that matter and prioritize the things that have the greatest impact.
  • Agile & Flexible - We are focused on evolving, improving and growing.
  • Results-Focused - We get stuff done by being efficient, working at pace and paying attention to detail.
  • Teamwork - We are stronger and better together.

What’s the deal?

We will provide you with the tools, equipment and support to give you the best possible chance of success and over-achieving your goals. Salary will depend on your experience and will be highly competitive.

In addition to a friendly and fun working environment, we provide a range of other benefits, including extensive health insurance, income protection, life assurance, subsidised gym membership, leisure travel insurance, pension contribution and 25 days’ holiday allowance plus an additional day off for your birthday!

Located in Covent Garden, our offices are comfortable, flexible, and are always stocked with free beverages and fresh fruit. This role is fully remote.

So, if we interest you, please let us know by applying for this position and tell us all about yourself.

Please note: we only consider applicants with current legal right to work in the countries in which our positions are based. All qualified applicants will receive consideration for employment regardless of colour, religion, sex, national origin, sexual orientation, age, disability, marital status or gender identity.

To learn more about Smart Communications visit:

https://www.smartcommunications.com/

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.