At a Glance
- Tasks: Build data pipelines and modernise legacy code for a cutting-edge media project.
- Company: Join GlobalLogic, a leader in digital engineering and innovation.
- Benefits: Enjoy health plans, gym discounts, and a competitive pension scheme.
- Other info: Flexible hybrid working options and a vibrant social culture await you.
- Why this job: Make a real impact by transforming complex data systems in a dynamic environment.
- Qualifications: Experience in data engineering and strong skills in SQL and Python.
The predicted salary is between 63000 - 77000 £ per year.
In this role, you will focus on building robust data pipelines, modernizing legacy code, and ensuring flawless data delivery.
You will work closely with System Analysts, Automation Engineers, and Data Architects to convert hundreds of legacy scripts into modern dbt models, orchestrate them via Astronomer (Airflow), and establish governed warehousing in Databricks.
- Lakehouse
Engineering: Build and maintain scalable data pipelines to migrate Consumer Risk datasets from Teradata to Amazon S3, utilizing Apache Iceberg for the lakehouse layer and Databricks for governed warehousing.
- Code Modernization (BTEQ to dbt): Perform complex code conversions, transforming up to 500 legacy Teradata BTEQ scripts into modular, version-controlled, and highly performant dbt (data build tool) models.
- Pipeline Orchestration: Design, develop, and monitor complex Directed Acyclic Graphs (DAGs) using Astronomer (Apache Airflow) to orchestrate end-to-end data workflows.
- Data Lineage & Transparency: Integrate pipelines with Open Lineage to ensure complete, end-to-end data traceability, providing the transparency required for regulatory compliance.
- Reconciliation & Parity: Work alongside the QA/Automation team to execute automated reconciliation frameworks, debugging and resolving data discrepancies to ensure strict attribute-level parity and timing equivalence during governed parallel runs.
We are seeking a highly skilled Сonsultant Data Engineer to be the driving force behind this massive architectural shift.
You will be hands-on in moving a highly complex, highly regulated data ecosystem from an on-premise Teradata environment to a cutting-edge AWS "Lakehouse" architecture., Cloud
Platforms: Hands-on engineering experience within the AWS ecosystem (S3, IAM, Glue) and deep expertise in Databricks (Spark SQL, Py Spark, governed cataloging).
- Modern Data Stack: Strong proficiency in dbt (Core or Cloud) for data transformation and understanding of modern table formats, specifically Apache Iceberg.
- Orchestration: Experience building and maintaining data pipelines using Apache Airflow (Astronomer experience is a strong plus).
- Languages: Expert-level SQL (ability to read Teradata SQL/BTEQ and write highly optimized Spark/Databricks SQL) and strong Python skills for pipeline development and Airflow DAGs.
- Legacy
Systems: Familiarity with Teradata architecture and utilities (Fast Export, BTEQ) to effectively understand the source systems being decommissioned., Experience: 7+ years of dedicated Data Engineering experience, with a proven track record in complex data migration projects (On-Premise to Cloud).
- Financial
- Services
Background: Experience working in a highly regulated banking or financial services environment is strongly preferred, particularly within Risk or Finance domains.
- Engineering Best Practices: Strong grasp of CI/CD for data pipelines, Git version control, data modeling (Kimball/Inmon), and infrastructure as code (Terraform).
- Communication: Ability to work collaboratively in a fast-paced, cross-functional agile team, effectively communicating technical blockers to technical leads and project managers.
Global Logic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies.
Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences.
Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value.
We work together to promote fairness while recognising, valuing and embracing differences - providing a transparent support structure and generous training budget to help our people develop skills to progress their career.
Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs.
You'll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages.
We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives.
Colleagues are entitled to an annual volunteering day - so you can take time to support a cause close to your heart.
We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more.
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Trainee Test Engineer for Media Project employer: GlobalLogic Inc.
GlobalLogic, a Hitachi Group Company, is an exceptional employer that fosters a collaborative and inclusive work culture, empowering employees to thrive in their careers. With a strong focus on professional development, generous training budgets, and a comprehensive health and wellness plan, employees can enjoy a balanced work-life experience while contributing to innovative projects in a dynamic environment. Located in a region that supports flexible working options, the company also promotes social engagement through various team activities, making it a rewarding place to work for those seeking meaningful employment.
StudySmarter Expert Advice🤫
We think this is how you could land Trainee Test Engineer for Media Project
✨Get in on the Data Science Meetups
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We think you need these skills to ace Trainee Test Engineer for Media Project
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so GlobalLogic Inc. can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at GlobalLogic Inc. and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at GlobalLogic Inc.
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
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As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells GlobalLogic Inc. that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into GlobalLogic Inc.’s culture and workflow.
