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Senior Customer Integration Engineer (Data Engineer)

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

Poland

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science or related field, 5+ years in data engineering with focus on data transformation, Proficient in MySQL, Redis, Google BigQuery, MongoDB, Strong Python and SQL skills for data manipulation.

Key responsabilities:

Partner with sales to integrate new customers
Design and implement data transformation processes
Develop and maintain ETL pipelines
Perform data quality assessments and cleaning procedures

Focal Systems

51 - 200 Employees

See more Focal Systems offers

Job description

Role: Senior Customer Integration Engineer (Data Engineer)

Location: Fully remote in Poland

Type: This can be structured as a B2B contract at $120k - 140k USD annually + stock options or as an Employment Contract with full benefits at $100k - 120k USD + stock options

Who we are

Focal Systems is the industry leader in retail AI solutions. We are a Silicon Valley based startup that has more than doubled in size every year since inception. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with the top retailers in the world. We are looking for smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!

We have a strong team of engineers located in Poland.

What we are looking for

We are seeking a skilled Customer Integration Engineer specializing in customer data transformation to play a crucial role in transforming diverse customer data into standardized, high-quality datasets that power our business operations. In this role, you will focus on analyzing, cleaning, and transforming customer data to meet our specific data needs and ensure seamless integration into our systems.

What you will do

Partner with the sales team to smoothly integrate new customers into our system and manage optimal roll-out timelines
Design and implement data transformation processes to convert customer data into our required formats and schemas
Analyze complex customer data structures and formats to determine optimal transformation strategies
Develop and maintain ETL pipelines for efficient customer data ingestion and transformation
Perform thorough data quality assessments and implement data cleaning procedures to ensure accuracy and consistency of transformed data
Optimize data transformation queries and processes for improved performance across multiple database technologies
Collaborate with cross-functional teams to understand customer data requirements and deliver effective transformation solutions
Create and maintain documentation for data transformation processes and mappings
Implement data validation checks to ensure transformed data meets our specification

What you need to be successful

Bachelor's or Master's degree in Computer Science, Data Engineering or related field
5+ years of experience in data engineering with a focus on data transformation and integration
Proficiency in at least three of the following database technologies:

MySQL
Redis
Google BigQuery
MongoDB

Strong skills in data profiling, cleansing, and transformation techniques
Proficiency in Python and SQL for complex data manipulation and transformation
Experience with ETL tools and frameworks for large-scale data processing
Demonstrated ability to handle diverse data formats (e.g., CSV, JSON, XML, APIs)
Advanced knowledge of SQL for complex data transformations and query optimization
Expertise in data modeling and schema design for efficient data storage and retrieval
Strong analytical and problem-solving skills, particularly in resolving data inconsistencies
Experience with data mapping and reconciliation between different data models
Proficiency in writing efficient and scalable data transformation scripts
Excellent attention to detail and commitment to data accuracy

Preferred Skills:

Experience with real-time data processing and streaming technologies for continuous data transformation
Familiarity with data governance principles and data privacy regulations
Knowledge of industry-specific data standards and formats
Experience with version control systems (e.g., Git) for managing transformation code

What we offer

We care deeply about the health, happiness, and wellbeing of all of our employees. We offer:

Competitive Salary & Attractive Stock
Paid Time Off
Quarterly Team Retreats
Opportunity to work on challenging customer data transformation projects
Access to modern data processing tools and technologies
Professional development opportunities and conference attendance
Collaborative work environment focused on data quality and efficiency

Note: Our pay bands are driven by market benchmarks in the target geography for hiring. Our posted ranges typically include multiple job levels. A candidate's level is determined by their performance throughout our talent acquisition process including technical screens, behavior interviews, presentations, work samples, and references. We will communicate transparently with the candidate at final stages regarding how we have leveled them, and what salary range that places them into. Placement within range is equally determined by education, general experience in your profession, specific experience in our domain, and your performance in the talent acquisition process. It is rare to receive an offer at the top of the range for a role.