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- Tasks: Lead a team to design and maintain data infrastructure and pipelines.
- Company: Join Alter Domus, a leader in alternative investment solutions.
- Benefits: Flexible work, generous holidays, and professional development opportunities.
- Why this job: Make an impact in a dynamic environment with cutting-edge technology.
- Qualifications: 5+ years in data engineering, with leadership experience preferred.
- Other info: Inclusive culture that values diverse perspectives and career growth.
The predicted salary is between 43200 - 72000 £ per year.
As a world leading provider of integrated solutions for the alternative investment industry, Alter Domus is proud to be home to 90% of the top 30 asset managers in the private markets, and more than 6,000 professionals across 24 jurisdictions. With a deep understanding of what it takes to succeed in alternatives, we believe in being different - in what we do, in how we work and most importantly in how we enable and develop our people. Invest yourself in the alternative, and join an organization where you progress on merit, where you can speak openly with whoever you are speaking to, and where you will be supported along whichever path you choose to take.
Join our dynamic and innovative team as a Data Engineering Manager, where you will lead the design, development, and maintenance of our data infrastructure and pipelines. In this pivotal role, you will oversee a team of data engineers, collaborating closely with data analysts, data scientists, and various business stakeholders to ensure that our data is reliable, efficient, and accessible in a scalable manner.
Key Responsibilities- Lead, mentor, and develop a team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement.
- Set clear goals and performance expectations for team members, conducting regular performance reviews and providing constructive feedback.
- Oversee the design, building, and maintenance of end-to-end data pipelines using Airflow (including managed services like Amazon MWAA) to orchestrate, schedule, and monitor batch/streaming workflows.
- Ensure the implementation of DAGs (Directed Acyclic Graphs) with retry logic, error handling, and alerting to maintain data quality and pipeline reliability.
- Guide the integration of data from various sources using Airbyte for ingestion and dbt for transformations in a scalable and modular fashion.
- Collaborate with Data Analysts and Data Scientists to implement transformations and business logic, ensuring data is analytics-ready.
- Direct the design and implementation of efficient data models for both structured and semi-structured data in AWS S3 (data lake) and Snowflake (data warehouse).
- Utilize Databricks for data processing and analytics, enabling real-time insights and advanced analytics capabilities.
- Ensure data schemas and transformations support advanced analytics, BI reporting, and machine learning use cases.
- Lead the utilization of AWS Lake Formation APIs and best practices to maintain data security, access controls, and compliance.
- Collaborate with IT security to establish robust encryption standards, audit trails, and identity/role-based access.
- Oversee the optimization of AWS Athena queries and configurations (e.g., data partitioning) for performance and cost efficiency.
- Monitor and tune Airflow DAGs, Snowflake queries, and Databricks jobs to improve throughput and reliability.
- Partner with cross-functional teams, including DevOps, Platform Engineering, and Data Science, to ensure seamless integration of data workflows and systems.
- Communicate technical solutions effectively to non-technical stakeholders and leadership, translating requirements into actionable tasks.
- Participate in architecture reviews, code reviews, and troubleshooting sessions to ensure quality and alignment with best practices.
- Stay current with emerging trends in data engineering, orchestration tools (Airflow, MWAA), and cloud services (AWS, Snowflake, Databricks).
- Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering or a similar role, with at least 2 years in a leadership or managerial capacity working with cloud-based data platforms.
- Technical Skills:
- Cloud & Orchestration: Proficient in Airflow (self-managed or managed services like Amazon MWAA) for workflow orchestration, DAG development, and scheduling. Familiarity with best practices for Airflow DAG structure, dependency management, and error handling.
- AWS Expertise: Hands-on experience with AWS Lake Formation, S3, Athena, and related services (e.g., Lambda, Glue, IAM).
- Snowflake: Proficient in setting up data warehouses, configuring security, and optimizing queries on Snowflake.
- Databricks: Experience with Databricks for data processing, analytics, and real-time data insights.
- Data Ingestion & Transformation: Experience with Airbyte or similar tools for data ingestion. dbt or other SQL-based transformation frameworks for modular data processing.
- Programming: Proficiency in Python and/or Java/Scala for building data pipelines and custom integrations.
- Query Languages: Advanced knowledge of SQL for data manipulation and analysis.
We are committed to supporting your development, advancing your career, and providing benefits that matter to you. Our industry-leading Alter Domus Academy offers six learning zones for every stage of your career, with resources tailored to your ambitions and resources from LinkedIn Learning.
- Support for professional accreditations such as ACCA and study leave
- Flexible arrangements, generous holidays, plus an additional day off for your birthday!
- Continuous mentoring along your career progression
- Active sports, events and social committees across our offices
- 24/7 support available from our Employee Assistance Program
- The opportunity to invest in our growth and success through our Employee Share Plan
We are in the business of equity, in every sense of the word. For us, this means taking action to ensure every colleague has equal opportunity, valuing every voice and experience across our organisation, maintaining an inclusive culture where you can bring your whole self to work, and making Alter Domus a workplace where everyone feels they belong. We celebrate our differences, and understand that our success relies on diverse perspectives and experiences, working towards shared goals and a common purpose. We take pride in creating a workplace where all our people are empowered to truly invest in the alternative and bring their whole selves to work. We are committed to ensuring a welcoming recruiting and onboarding process for everyone. Please contact our hiring team if you require any accommodations to make our recruitment process more accessible for you.
Data Engineering Manager employer: Alter Domus
Contact Detail:
Alter Domus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their data engineering processes and be ready to discuss how your experience aligns with their needs. Tailor your responses to show how you can contribute to their success.
✨Tip Number 3
Showcase your skills through projects or contributions to open-source. Having tangible examples of your work can set you apart from other candidates. Plus, it gives you something concrete to discuss during interviews!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Manager role. Highlight relevant experience, especially in leading teams and working with data pipelines. We want to see how your skills align with what we do at Alter Domus!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be genuine and let your personality come through – we love that!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise, especially with tools like Airflow, AWS, and Snowflake. We’re looking for someone who can hit the ground running, so make sure we see your relevant skills front and centre.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team at Alter Domus!
How to prepare for a job interview at Alter Domus
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Airflow, AWS, Snowflake, and Databricks. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these tools in past projects.
✨Showcase Leadership Skills
As a Data Engineering Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed teams, set goals, and provided constructive feedback in previous roles.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills and technical expertise. Think about challenges you've faced in data engineering and how you overcame them, particularly in areas like data governance and performance optimisation.
✨Communicate Clearly with Non-Techies
You’ll likely need to explain complex technical concepts to non-technical stakeholders. Practice simplifying your explanations and focus on how your work impacts the business. This will show your ability to bridge the gap between tech and business needs.
