Match score not available

Data Engineer (SC Clearance)

Remote: 
Full Remote
Contract: 
Experience: 
None
Work from: 

Offer summary

Qualifications:

Experience with AWS services and infrastructure, Proficiency in SQL Server Integration Services (SSIS), Knowledge of Python/Pyspark and data architectures, Familiarity with Gitlab and CI/CD practices, Java (Spring Boot) experience is a plus.

Key responsabilities:

  • Design and maintain scalable data pipelines
  • Manage ETL processes using SSIS
  • Collaborate with teams to implement data models
  • Ensure data quality and adhere to governance standards
  • Work cross-functionally to meet data requirements
Amber Labs logo
Amber Labs Information Technology & Services Scaleup
51 - 200 Employees
See more Amber Labs offers

Job description

Location: Remote

Work Pattern: Full-Time

Security Clearance:  SC Clearance

The Company

At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.

Responsibilities

  • Data Pipeline Development:
    • Design, develop, and maintain scalable and efficient data pipelines for ingesting, transforming, and loading data from various sources.
    • Utilize SSIS to create and manage ETL (Extract, Transform, Load) processes for seamless data integration.
  • Data Modeling and Architecture:
    • Collaborate with data architects and analysts to understand data requirements and implement efficient data models.
    • Ensure data architecture and models support business needs and are scalable for future growth.
  • SSIS Expertise:
    • Demonstrate expertise in SQL Server Integration Services (SSIS) for building and managing ETL processes.
    • Optimize and troubleshoot SSIS packages for performance and reliability.
  • Data Quality and Governance:
    • Implement data quality checks and validations within ETL processes to ensure accurate and reliable data.
    • Adhere to data governance and compliance standards, ensuring data integrity and security.
  • Collaboration:
    • Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions.
Requirements

  • AWS: S3, Lambda, EMR, SMS, SQS, and additional services related to data infrastructure
  • Terraform
  • Databricks
  • Data Lake, Warehouse, Lakehouse architecture and design
  • Python/Pyspark
  • Data platforms and notebooks: Jupyter, Databricks, Azure
  • Gitlab: repository and CI/CD
  • Java (Spring Boot) experience is a plus

Benefits

  • Join a rapidly expanding startup where personal growth is a part of our DNA.
  • Benefit from a flexible work environment focused on deliverable outcomes.
  • Receive private medical insurance through Aviva.
  • Enjoy the benefits of a company pension plan through Nest.
  • 25 days of annual leave plus UK bank holidays.
  • Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources.
  • Participate in a generous employee referral program.
  • A highly collaborative and collegial environment with opportunities for career advancement.
  • Be encouraged to take bold steps and embrace a mindset of experimentation.
  • Choose your preferred device, PC or Mac.

Diversity & Inclusion

Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes:

  • Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.
  • Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all.
  • Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace.
  • By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities.

What Happens Next?

Our Talent Acquisition team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.

Required profile

Experience

Level of experience: None
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration

Data Engineer Related jobs