Senior Data Engineer in London

Senior Data Engineer in London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
Transform

At a Glance

  • Tasks: Join our Agile team to deliver innovative data engineering solutions for impactful projects.
  • Company: Transform is a fresh alternative to Big Consulting, focused on making a real difference.
  • Benefits: Enjoy 28 days holiday, private healthcare, and flexible benefits tailored for you.
  • Other info: Inclusive culture celebrating diversity and offering excellent career growth opportunities.
  • Why this job: Be part of a dynamic team that tackles complex challenges and drives change.
  • Qualifications: Experience with Azure or AWS, data processing, and a passion for teamwork.

The predicted salary is between 43200 - 72000 £ per year.

We are hiring multiple Senior Data Engineers due to growth of our data engineering teams.

Type: Full time, permanent

Location: London or Manchester

WoW: Hybrid, weekly travel to the office/client site

About us

We’re Transform. Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients' toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run – standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public-facing organisations—from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world's most dynamic brands across automotive, retail, financial services, and consumer goods.

In 2024, Transform acquired Cadence Innova, the UK's leading public sector change consultancy. The result is a fresh kind of partner: together, we’re able to deliver change from the very first ideas through to deployment—building on our deep relationships at every level of government.

We’re part of the Next 15 group, a multi-national organisation spanning over 25 brands. We combine the financial robustness and breadth of services of a large organisation, with the nimbleness and innovation of a smaller brand.

If you are keen to help us build the workforce of the future, we should talk.

The Role:

The Senior Data Engineer will be responsible for working as part of an Agile delivery squad with other data engineers and senior data engineers. Working to deliver data engineering on a range of data products for use in insight, reporting and analytics including AI, working closely with product owners, business analysts, data architects, data analysts, delivery projects managers and data scientists.

Key Responsibilities:

  • Managing quality of own and teams' outputs
  • Delivering data engineering on a range of complex marketing and research processes
  • Working with clients to understand needs, and best implement that with our available technology solutions
  • Working with a range of data sources such as CRM, sales, research and HR data.
  • Building Single Customer Views, CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation
  • Building and configuring data ingestion methods from APIs, flat files, streaming, public data sources and survey data

Key Skills/Experiences:

  • Must have experience of using Azure or AWS Databricks and Medallion architecture
  • Expert experience with Azure Data Factory or Python/Airflow and a range of associated libraries for data processing and manipulation
  • Experience with a range of database technologies including data lakes such as Azure SQL, SQL Server, Azure Data Lake, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB
  • Understanding of Azure DevOps and CI/CD processes
  • Knowledge of data warehouse or data lakes with SCVs or in conjunction with CDP platforms
  • Knowledge of data ingestion of streaming data using Databricks and Pyspark
  • Understanding and application of statistical methods
  • Ability to lead, and to work well as part of, a team using the agile methodology

Desirable Skills:

  • Palantir Foundry (Pipeline Builder) experience
  • Knowledge of ELT/ETL tools such as Informatica DEI/BDM and Talend would be beneficial
  • Experience of mentoring junior to mid-level Data Engineers would be beneficial

Our culture is built on:

  • Being one team; looking out for each other as a team
  • The world never stops changing and we’ll never stop learning
  • Infinity & Beyond; we’re crazy ambitious, not afraid to fail along the way (it’s just falling with style)
  • Integrity is everything; we’re honest with each other and with our clients
  • Diversity is our superpower; everyone’s story is different, and we celebrate differences
  • We’re all in; we take on tough, complex challenges with lots of moving parts and we’re committed to the work, our clients and each other

Our benefits include:

  • Holiday entitlement, 28 days with the option to buy/sell up to 5 days
  • Day off (on or in the week of) your birthday
  • Pension eligibility, up to 5% matched contributions
  • Private healthcare
  • Life assurance
  • Enhanced maternity and enhanced paternity and shared parental leave
  • Cycle to work & electric car schemes
  • Gym & retail discounts
  • Regular social events/activities
  • A range of other benefits from our flexible benefits package

At Transform we believe in a culture of inclusivity, we celebrate difference and believe that diversity makes our business more relevant, our work more meaningful and our people more empowered. We’re committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities + those with neurodiverse traits and disabilities. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process.

If this sounds like you, please get in touch to discuss in more detail.

Use of AI in CV and Interviews

Whilst we are a technology company and promote using AI the right and ethical way, we value authenticity and transparency in our hiring process. To ensure fairness and accuracy in assessing your skills and experience, we kindly request that you refrain from using AI-assisted tools to generate answers during interviews or enhancing your CV. We are looking for genuine insights into your abilities, experiences, and personality. Any misrepresentation through AI-generated content may impact our ability to make an informed decision. We look forward to getting to know the real you.

Senior Data Engineer in London employer: Transform

Transform is an exceptional employer that fosters a collaborative and inclusive work culture, where employees are encouraged to learn and grow while tackling complex challenges. With a strong focus on employee well-being, we offer generous benefits such as 28 days of holiday, private healthcare, and opportunities for professional development, all within the vibrant cities of London and Manchester. Join us to be part of a dynamic team that values diversity and integrity, and is committed to making a meaningful impact in the public sector and beyond.
Transform

Contact Detail:

Transform Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer in London

✨Tip Number 1

Network like a pro! Reach out to current employees at Transform on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a Senior Data Engineer.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Azure, AWS, and data engineering concepts. We want to see your expertise shine!

✨Tip Number 3

Show us your passion for data! Be ready to share examples of projects you've worked on, especially those involving data lakes or customer views. We love hearing about real-world applications of your skills.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Transform.

We think you need these skills to ace Senior Data Engineer in London

Azure
AWS
Databricks
Medallion Architecture
Azure Data Factory
Python
Airflow
Data Lakes
SQL Server
PostgreSQL
Snowflake
MySQL
Cosmos DB
Mongo DB
Azure DevOps
CI/CD Processes
Data Ingestion
Streaming Data
Pyspark
Statistical Methods
Agile Methodology
Mentoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with Azure, AWS, and any relevant data engineering projects you've worked on. We want to see how you can contribute to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background aligns with our mission at Transform. Be genuine and let your personality come through.

Showcase Your Projects: If you've worked on interesting data projects, don't hesitate to include them in your application. Whether it's building data lakes or working with APIs, we love seeing real-world examples of your work and how you tackle challenges.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you're keen to join our team!

How to prepare for a job interview at Transform

✨Know Your Tech Stack

Make sure you’re well-versed in Azure or AWS Databricks and Medallion architecture. Brush up on your experience with Azure Data Factory, Python, and Airflow, as these are crucial for the role. Be ready to discuss specific projects where you've used these technologies.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex data engineering challenges in the past. Think about times when you had to work closely with clients to understand their needs and how you implemented technology solutions effectively.

✨Emphasise Team Collaboration

Since the role involves working in an Agile delivery squad, highlight your experience in team settings. Share stories that demonstrate your ability to lead and collaborate with others, especially in fast-paced environments.

✨Be Authentic

Remember, they value authenticity over AI-generated responses. Be yourself and share genuine insights into your experiences and personality. This will help you connect better with the interviewers and show them who you really are.

Senior Data Engineer in London
Transform
Location: London

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