採用
Benefits & Perks
•Learning Budget
•Flexible Hours
•Learning
•Flexible Hours
Required Skills
Databricks
PySpark
dbt
Apache Airflow
Data engineering
ETL
Data quality
Job Description:
Job Opportunity Data Engineer (Databricks Specialist) – Newcastle or Erskine
Location: Newcastle, UK or Erskine, Scotland
Type: Full-Time
Salary: Competitive + Benefits
Remote Work: Hybrid options available
About the Role:
We’re on a mission to harness the power of data to drive innovation and deliver transformative solutions. We’re looking for a talented Data Engineer with deep expertise in Databricks to join our growing team and help shape the future of our data projects. This is a fantastic opportunity to work on cutting-edge AI and data engineering projects using the latest tools and technologies in a collaborative and innovative environment.
Please note that due to security clearance requirements, candidates should be sole UK national status and willing to undergo SC clearance. Candidates should also be willing to travel within the UK when required depending on project requirements
Key Responsibilities:
- Build and maintain scalable data pipelines using Databricks.
- Manage and optimize Databricks Workspace, Clusters, Jobs, Repos, and Delta Live Tables.
- Develop modular ETL workflows using dbt and orchestrate them with Apache Airflow.
- Write advanced Py Spark code, including UDFs and Pandas UDFs, for efficient data processing.
- Ensure data quality, reliability, and performance across all systems.
- Collaborate with data scientists, analysts, and engineers to deliver data solutions that support business goals.
- Contribute to the mentoring and development of junior team members.
- Support senior team members in identifying and addressing data science opportunities.
- Required Skills & Experience
- Proven experience with Databricks and its ecosystem
- Strong proficiency in Py Spark, especially with UDFs and Pandas UDFs
- Hands-on experience with dbt and Airflow
- Databricks Certified Data Engineer Associate certification or willingness to achieve one
- Excellent problem-solving skills and a passion for data and AI
- Bachelor's degree in a relevant field or equivalent combination of education and experience
- Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role.
- Proficiencies in data cleansing, exploratory data analysis, and data visualization
- Continuous learner that stays abreast with industry knowledge and technology
Why Join Us?
- Work with a forward-thinking team on impactful AI projects
- Access to continuous learning and development opportunities
- Flexible working arrangements
- Inclusive and supportive company culture
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here**.**
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About Luxoft (DXC)

Luxoft (DXC)
AcquiredLuxoft is a digital strategy and software engineering services company that was acquired by DXC Technology in 2019. The company provides software development, consulting, and digital transformation services to enterprise clients across various industries.
10,001+
Employees
Zug
Headquarters
Reviews
4.0
31 reviews
Work Life Balance
3.6
Compensation
4.1
Culture
4.3
Career
4.3
Management
3.6
85%
Recommend to a Friend
Pros
Cutting-edge technology stack and interesting technical challenges
Competitive compensation packages with equity
Strong engineering culture with focus on code quality
Cons
Fast-paced environment with tight deadlines
Work-life balance can be challenging during product launches
Internal politics in some teams
Salary Ranges
272 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Business Analyst
31 reports
$93,664
total / year
Base
$93,664
Stock
-
Bonus
-
$60,666
$144,611
Interview Experience
46 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
38%
Experience
Positive 66%
Neutral 16%
Negative 18%
Interview Process
1
Phone Screen
2
Technical Interview
3
System Design
4
Behavioral
5
Team Fit
Common Questions
Tell me about a challenging project
System design question
Coding problem
Why this company
News & Buzz
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Source: Рубрика
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209w ago
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News
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350w ago