Data Engineering Manager
3 months ago
At our core, we believe in the magic that happens when diverse minds come together. We're on the search for a Data Engineering Manager who will be a multiplier for our data engineers, helping them to achieve their full potential. You’ll also enjoy helping teams to be more productive, unblocking them and iterating on ways of working to continually improve things.
Your mission is to mentor and guide our data engineering team to build robust, scalable systems that can dance to the beat of big data without missing a step.
You will foster the environment in which engineers perform at their best and grow both as individuals and as a team. You do so by making sure each team member is clear on what we expect and how they can grow, by making sure our processes are helping rather than standing in the way, and by working with all engineers ensuring we are building high-quality software.
Your leadership style:- We always say that we hire anyone who we would want to be our boss, irrespective of the role they’re in (from Customer Support student workers to co-founders). That should be the feeling we’re left with when any of us speak to you.
- We are looking for someone who cares deeply about individuals as human beings - we focus on authentic leadership and are actively trying to develop ourselves in this space.
- We hope that you will be able to show vulnerability, radical transparency, and a listening ear to those around you.
- We truly believe that with this type of style you and your team will set an incredible path forward - and that path will get us to incredible places. We want an engineering manager whose team will be standing on the top of the mountain with them - celebrating together and not left behind exhausted on the path below.
- We want you to help your team through the journey of becoming high-performing, building trust among the members in the team, and helping them fine-tune their processes.
- Have a passion for people management. You work to see your team and individuals growing and shipping great software.
- You like to work with cross-functional teams and other stakeholders to align data engineering with business direction and goals. You think like a technologist in the core and optimize for both customers and the business.
- Enjoy design and optimization of teams and processes to maximize their efficiency. You are comfortable stepping into technical discussions or taking important stakeholder meetings to remove roadblocks allowing the team to move forward.
- You are a strong communicator, with both technical and commercial stakeholders.
- You’re a technologist at heart, but enjoy working in multi-disciplinary teams.
- You are enthusiastic about advancements in data and AI, tools and technologies that can bring substantial impact to a business.
- You like enabling data platforms and collaborative ways of working with other teams, making sure the tools and infrastructure meet the organisation’s needs effectively in scalability, reliability, availability, security and compliance both with your team and through others.
- You enjoy coaching others in working collaboratively with other engineers, data analytics and data scientists to help augment the impact of the data platform.
- Directly manage 8-12 Data engineers.
- Coach the team in working collaboratively with other engineers and data experts to grow platform adoption.
- Drive a (internal) user-centric & solution-oriented mindset.
- Continuously improve the environment and processes to support the data platform growth, maturity and compliance with best practices together with the team and other Data & Analytics leaders.
- Create and steer the data platform strategy with the team in alignment with wider business, product, tech and data strategies.
- Represent Data Engineering in key initiatives and projects within the department or across the company and ensure they get delivered.
- Design the organization, and objectives and hold a high standard in people, delivery, and technology.
- Continue and extend the investment we have already made in AWS, GCP, dbt, BigQuery, Looker, etc.
- Your own Pleo card (no more out-of-pocket spending)
- Lunch is on us - with catering in our Lisbon, Copenhagen and London offices or a monthly lunch allowance paid directly together with your salary in other markets.
- Private health insurance to ensure you’re fit in body and mind to do your best work.
- We offer 25 days of holiday + your public holidays.
- Flexibility/remote working options.
- Option to purchase 5 additional days of holiday through a salary sacrifice.
- Wellbeing days - fully paid days off designed for a slower pace, allowing you to take time to recharge and prioritise self-care.
- We’re trialling MyndUp to give our employees access to free mental health and wellbeing support with great success so far.
- Access to LinkedIn Learning - acquire new skills, stay abreast of industry trends and fuel your personal and professional development continuously.
- Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work.
- All of us have a stake in Pleo’s success - ask us about our equity grant scheme.
#LI-Remote
About your application
- Please submit your application in English; it’s our company language so you’ll be speaking lots of it if you join.
- We treat all candidates equally: If you are interested please apply through our application system - any correspondence should come from there Our lovely support isn't able to pass on any calls/ emails our way - and this makes sure that the candidate experience is smooth and fair to everyone.
- We’re on a mission to make everyone feel valued at work. That’s only achievable if our team reflects the diversity of the world around us - and that starts with you, hitting apply, even if you are worried you might not tick all the boxes We embrace and encourage people from all backgrounds to apply - regardless of race/ethnicity, colour, religion, nationality, gender, sex, sexual orientation, age, marital status, disability, neurodiversity, socio-economic status, culture or beliefs.
- When you submit an application we process your personal data as a data processor. Find out more about how your data is used in the FAQs section at the bottom of our jobs page.
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