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For Companies At a Glance
- Tasks: Join a dynamic team to support data migration and integration with Salesforce.
- Company: A Fortune 500 company providing IT solutions across various sectors in the US, UK, and Canada.
- Benefits: Enjoy a collaborative environment with opportunities for professional growth and cutting-edge technology.
- Why this job: Be part of a major transformation project that impacts businesses globally and enhances your tech skills.
- Qualifications: 3+ years in data engineering, strong skills in Salesforce, Python, and Azure services required.
- Other info: Work alongside 100+ experienced engineers in a fast-paced, innovative setting.
The predicted salary is between 43200 - 72000 £ per year.
Our client is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, the company was founded in 1984 and employs approximately 14,900 coworkers.
Client has a mission to become the leading B2B integrated technology solutions provider in the markets that we serve. A major programme of transformation is underway to redefine & optimise our operating models and modernise our business systems. Client’s Business Transformation is responsible for driving and accelerating change and transformation across people, process, and systems. Its role is to:
- Provide portfolio management for all change initiatives ensuring they are assessed, prioritised, sequenced, and governed to maximise benefit to Client’s customers and co-workers, supported by robust Change Management.
- Own business-wide initiatives including the implementation of Salesforce, to support initially the delivery of CRM capability across the UK Business.
Therefore, we are looking for a Data Engineer to join a growing team to support Data Migration activity, ensuring seamless integration and data flow between new and legacy systems.
Requirements:
Must Have (3+ years of experience)
- Strong experience with data integration and migration, particularly with Salesforce.
- Experience with programming languages such as Python, C#, or PowerShell.
- Strong experience in writing text cleansing routines in Databricks Python/SQL and the ability to measure data quality/execute data validation tests, ideally in Databricks.
- Proficiency in Azure data services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks.
- Proficiency in building pipelines and utilising python/SQL within Databricks.
- Experience with DevOps practices, including CI/CD, unit testing, and version control.
- Excellent written and verbal communication skills.
- A minimum of 2 years of experience in a data engineering role.
Nice To Have
- Experience with Power BI and data visualisation tools.
- Certified SCRUM Developer (CSD) or similar certifications.
Personal Attributes
- Self-driven and organised.
- Comfortable in fast-paced environments with shifting requirements.
- Passionate about technology and its impact on business.
- Excellent communicator and team player.
- Detail-oriented and quality-focused.
Responsibilities:
- Data Integration and Migration: Ingest, cleanse, and model data from various sources, including on-premise SQL databases, REST APIs, and Salesforce, ensuring data quality and consistency.
- Salesforce Integration: Define and implement data integration solutions to support Salesforce, ensuring data is accurately migrated and integrated into Salesforce from legacy systems.
- Data Quality Assurance: Define and apply cleansing rules to the data to ensure it meets quality expectations. Monitor data pipelines to ensure business-critical data is processed within time constraints and quality standards.
- DevOps Practices: Utilise DevOps approaches to software development and support, including creating high-quality code, implementing CI/CD pipelines, and conducting peer reviews.
- Collaboration and Documentation: Work closely with the data migration team to translate user requirements into technical specifications. Document datasets, solution designs, and integration processes in data catalogues and wikis.
- Stakeholder Engagement: Build strong relationships with stakeholders to gather requirements, prioritise activities, and support change management efforts related to the Salesforce Integration project.
- Ad-hoc Analysis: Perform ad-hoc analysis of structured and unstructured data to inform solution design and support decision-making processes.
Why this client?
It is a big TOP 200 US company that provides multiple Enterprise solutions across different business domains: retail, healthcare, education. It is an opportunity to work on a platform similar to how Amazon operates.
Why this team?
There are about 100+ engineers already on the account. Most of them are Senior ones with 10+ years of commercial experience.
Why this technology?
There are many different technologies as the client\’s product platforms are being evolved at the moment as a part of global modernization strategy.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Consulting
Industries
IT Services and IT Consulting
#J-18808-Ljbffr
Senior Data Engineer employer: Intellias
Contact Detail:
Intellias Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with Salesforce integration processes, as this role heavily focuses on data migration to Salesforce. Understanding the nuances of how data flows into Salesforce will give you a significant edge during discussions with the hiring team.
✨Tip Number 2
Brush up on your skills in Azure data services, particularly Azure Data Factory and Azure Databricks. Being able to demonstrate your proficiency in these tools during interviews can set you apart from other candidates.
✨Tip Number 3
Showcase your experience with DevOps practices, especially CI/CD and version control. Prepare examples of how you've implemented these practices in past projects, as they are crucial for the role.
✨Tip Number 4
Engage with the data engineering community online, perhaps through forums or LinkedIn groups. Networking can provide insights into the latest trends and challenges in data engineering, which could be beneficial during your interview.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure to customise your CV to highlight your experience with data integration and migration, particularly with Salesforce. Emphasise your proficiency in programming languages like Python and C#, as well as your familiarity with Azure data services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and your ability to thrive in fast-paced environments. Mention specific projects or experiences that demonstrate your skills in data engineering and your understanding of DevOps practices.
Showcase Relevant Projects: Include examples of past projects where you successfully implemented data migration solutions or built data pipelines. Highlight any experience with Databricks and your approach to ensuring data quality and consistency.
Highlight Communication Skills: Since excellent communication is crucial for this role, provide examples of how you've effectively collaborated with stakeholders or translated user requirements into technical specifications in previous positions.
How to prepare for a job interview at Intellias
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data integration and migration, especially with Salesforce. Highlight specific projects where you've used Python, SQL, or Databricks, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your ability to handle data quality issues and cleansing routines. Prepare examples of how you've ensured data integrity in past roles, and be ready to discuss your approach to monitoring data pipelines.
✨Emphasise Collaboration and Communication
Since stakeholder engagement is crucial for this role, be sure to share experiences where you've successfully collaborated with teams or stakeholders. Discuss how you gather requirements and translate them into technical specifications.
✨Familiarise Yourself with DevOps Practices
As the role involves utilising DevOps approaches, brush up on your knowledge of CI/CD, unit testing, and version control. Be ready to discuss how you've implemented these practices in your previous work and their impact on project success.
