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- Tasks: Join us as a Data Engineer to automate and enhance marketing data processes.
- Company: Be part of a team transforming how technology powers amazing holidays.
- Benefits: Enjoy opportunities for growth, collaboration, and innovative projects.
- Why this job: Make a real impact in the advertising space while working with cutting-edge technologies.
- Qualifications: Bring your expertise in data engineering, SQL, and cloud technologies to the table.
- Other info: We're excited to chat with passionate individuals ready to innovate!
The predicted salary is between 48000 - 84000 £ per year.
Project: "Accelerating data priorities from the Group CFO, with initial focus on automating ingest and transformation of marketing ad cost data from external advertising platforms like Google Ads"
What will you be doing in your role?
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Engineer and identify improvements to the logic and processes across our group with a focus on our advertising and marketing platforms.
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Deliver frequent, incremental, value-added iterations of assets across our data estate.
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Allow our core systems to consume and process more information quicker, and more effectively.
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Develop and maintain data pipelines, ETL, stored procedures, data cubes, data integrations and data migrations.
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Incorporate design, build, test and defect resolution methodology and operational documentation during the Development stage.
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Work to harmonise data logic where they diverge between brands.
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Provide and maintain data access tools.
We’re looking for a highly skilled Data Engineer, with experience working with large scale applications (martech or adtech would be great), large datasets and offering several years’ experience of data lake and data warehouse development and delivery.
Technically you will offer:
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Deep experience and expertise in query optimization (ideally in Snowflake), designing, coding, and tuning big data processes.
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Experience with modern data architectures (e.g. data lake, lake house, data mesh) and accompanying technologies (e.g. Snowflake)
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Expertise with visual ETL (Matillion, or a similar technology like SSIS, Talend or Informatica)
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Solid programming skills in SQL (our core language for data transformations) and Python (advantageous)
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Understanding of relevant cloud technologies preferably with the AWS stack (Lambda, S3, SQS, SNS, EventBridge, ECS, Dynamo all advantageous)
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Tools & methodologies such as T-SQL, star schema, Kimball methodology, Atscale (MDX)
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Experience working with CICD build pipelines using Github Actions, GoCD, or similar
Get in touch, we’d love to chat
If you’re interested in transforming the industry and reinventing how our technology powers everyday amazing holidays, please send your profile to jody.marks@ and let’s chat today.
Data Engineer employer: MRJ Recruitment
Contact Detail:
MRJ Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, especially Snowflake and visual ETL tools like Matillion. Having hands-on experience or projects showcasing your skills with these tools can set you apart.
✨Tip Number 2
Highlight any experience you have with large datasets and data architectures such as data lakes or data warehouses. Be prepared to discuss how you've optimized queries or improved data processes in previous roles.
✨Tip Number 3
Showcase your programming skills in SQL and Python through practical examples. If you have any personal projects or contributions to open-source that demonstrate your coding abilities, make sure to mention them.
✨Tip Number 4
Understand the cloud technologies listed, particularly within the AWS stack. Being able to discuss how you've utilized services like S3 or Lambda in past projects will demonstrate your readiness for the role.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your experience with data pipelines, ETL processes, and any relevant technologies like Snowflake or AWS in your application.
Tailor Your CV: Customize your CV to reflect your skills and experiences that align with the Data Engineer role. Emphasize your expertise in query optimization, programming in SQL, and any experience with visual ETL tools like Matillion.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your background fits the company's needs. Mention specific projects where you've successfully implemented data solutions, especially in martech or adtech.
Highlight Relevant Projects: In your application, include examples of past projects that demonstrate your ability to work with large datasets and modern data architectures. Discuss any experience you have with CICD build pipelines and cloud technologies, as these are crucial for the role.
How to prepare for a job interview at MRJ Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with query optimization, especially in Snowflake. Highlight specific projects where you've designed and tuned big data processes, as this will demonstrate your technical expertise.
✨Familiarize Yourself with Data Architectures
Understand modern data architectures like data lakes and data meshes. Be ready to explain how you've implemented these technologies in past roles, as this knowledge is crucial for the position.
✨Discuss Your ETL Experience
Talk about your experience with visual ETL tools like Matillion or similar technologies. Provide examples of how you've developed and maintained data pipelines, as this is a key responsibility in the role.
✨Prepare for Behavioral Questions
Expect questions about teamwork and problem-solving, especially in relation to harmonizing data logic across brands. Share specific instances where you've collaborated effectively to resolve issues or improve processes.
